CN115049459A - Electricity price recommendation method, device, equipment and storage medium - Google Patents
Electricity price recommendation method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN115049459A CN115049459A CN202210749667.6A CN202210749667A CN115049459A CN 115049459 A CN115049459 A CN 115049459A CN 202210749667 A CN202210749667 A CN 202210749667A CN 115049459 A CN115049459 A CN 115049459A
- Authority
- CN
- China
- Prior art keywords
- electricity
- electricity price
- time period
- strategy
- preset time
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000005611 electricity Effects 0.000 title claims abstract description 481
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000004590 computer program Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000001186 cumulative effect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Tourism & Hospitality (AREA)
- Water Supply & Treatment (AREA)
- Public Health (AREA)
- Human Resources & Organizations (AREA)
- Data Mining & Analysis (AREA)
- Primary Health Care (AREA)
- Game Theory and Decision Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The electricity price recommending method, the electricity price recommending device, the electricity price recommending equipment and the storage medium can acquire the current electricity price strategy and the first electricity consumption cost used by the user in the preset time period. And then determining at least one power rate policy combination to be operated within a preset time period based on the current power rate policy, wherein the power rate policy combination includes at least one power rate policy other than the current power rate policy. And obtaining second electricity consumption fees when each electricity price strategy combination is respectively executed in the preset time period based on the electricity consumption in the preset time period. And determining the electricity price strategy required by the user based on the minimum value in the second electricity utilization cost and the first electricity utilization cost. The method can provide the best matching electricity price strategy for the user according to the electricity utilization condition of the user, and improves the utilization rate of the power resource while helping the user to save the electricity fee.
Description
Technical Field
The invention relates to the technical field of energy planning, in particular to a power price recommendation method, device, equipment and storage medium.
Background
At present, most of power users do not know the power price strategy closely related to own power utilization structure, and most of the power users consult the related pricing strategy through a business hall or a calling mode. After the recommendation of the multiple pricing strategies is obtained, the user often selects the pricing strategies at will, which not only causes waste of power resources, but also increases the power consumption cost of the user.
Disclosure of Invention
In order to solve the problems of waste of power resources and high electricity consumption cost in the prior art, the invention provides an electricity price recommendation method, device, equipment and storage medium, which have the characteristics of improving the energy utilization rate, reducing the electricity consumption cost of users and the like
According to the specific embodiment of the invention, the electricity price recommendation method comprises the following steps:
acquiring a current electricity price strategy and a first electricity consumption charge used by a user in a preset time period;
determining at least one electricity price strategy combination to be operated in the preset time period based on the current electricity price strategy, wherein the electricity price strategy combination at least comprises one electricity price strategy except the current electricity price strategy;
obtaining second electricity utilization cost when each electricity price strategy combination is executed in the preset time period respectively based on the electricity consumption in the preset time period;
and determining the electricity price strategy required by the user based on the minimum value in the second electricity consumption cost and the first electricity consumption cost.
Further, the determining at least one power rate policy combination to be operated within the preset time period based on the current power rate policy includes:
if the current electricity price strategy is a non-peak-valley electricity price strategy, the corresponding electricity price strategy combination comprises a first electricity price strategy combination and a second electricity price strategy combination, the first electricity price strategy combination comprises a peak-valley electricity price strategy and a step electricity price strategy, and the second electricity price strategy combination comprises the peak-valley electricity price strategy.
Further, the determining at least one power rate policy combination to be operated within the preset time period based on the current power rate policy includes:
if the current electricity price strategy is a peak-valley electricity price strategy, the corresponding electricity price strategy combination comprises a third electricity price strategy combination and a fourth electricity price strategy combination, the third electricity price strategy combination comprises a step electricity price strategy, and the fourth electricity price strategy combination comprises a single electricity price strategy.
Further, the determining the electricity price strategy required by the user based on the minimum value of the second electricity usage cost and the first electricity usage cost includes:
if the minimum value in the second electricity consumption cost is smaller than the first electricity consumption cost, sending first recommendation information to a user, wherein the first recommendation information comprises an electricity price strategy combination and cost saving information corresponding to the minimum value;
and if the minimum value in the second electricity consumption cost is larger than the first electricity consumption cost, sending second recommendation information to the user, wherein the second recommendation information comprises the keeping information of the current electricity price strategy.
Further, the determining the electricity price policy required by the user based on the minimum value of the second electricity usage fees and the first electricity usage fee further includes:
and if the minimum value in the second electricity consumption cost is equal to the first electricity consumption cost, sending electricity price strategy introduction information including the current electricity price strategy to a user.
Further, the obtaining, based on the power consumption in the preset time period, a second power consumption rate when each power rate policy combination is executed in the preset time period includes:
obtaining a third electricity consumption cost when the peak-valley electricity price strategy and the step electricity price strategy are executed in the preset time period based on the electricity consumption in the preset time period;
and obtaining a fourth electricity consumption cost when only the peak-valley electricity price strategy is executed in the preset time period based on the electricity consumption in the preset time period.
Further, the obtaining, based on the power consumption in the preset time period, a second power consumption rate when each power rate policy combination is executed in the preset time period includes:
obtaining a fifth electricity consumption fee when only the step electricity price strategy is executed in the preset time period based on the electricity consumption in the preset time period;
and obtaining a sixth electricity consumption fee when only the single electricity price strategy is executed in the preset time period based on the electricity consumption in the preset time period.
According to an embodiment of the present invention, there is provided an electricity price recommending apparatus including:
the system comprises a strategy acquisition module, a first power consumption rate acquisition module and a second power consumption rate acquisition module, wherein the strategy acquisition module is used for acquiring a current power price strategy and a first power consumption rate used by a user within a preset time period;
a policy determination module, configured to determine, based on the current electricity price policy, at least one electricity price policy combination to be operated within the preset time period, where the electricity price policy combination includes at least one electricity price policy other than the current electricity price policy;
the cost determination module is used for obtaining second electricity consumption cost when each electricity price strategy combination is executed in the preset time period based on the electricity consumption in the preset time period; and
and the strategy recommending module is used for determining the electricity price strategy required by the user based on the minimum value in the second electricity consumption cost and the first electricity consumption cost.
According to a specific embodiment of the present invention, there is provided an apparatus including: a memory and a processor;
the memory is used for storing programs;
the processor is configured to execute the program to implement the steps of the electricity price recommendation method.
According to a specific embodiment of the present invention, there is provided a storage medium having a computer program stored thereon, the computer program, when being executed by a processor, implementing the steps of the electricity price recommendation method as described above.
The electricity price recommending method provided by the invention can acquire the current electricity price strategy and the first electricity cost used by the user in the preset time period. And then determining at least one power rate policy combination to be operated within a preset time period based on the current power rate policy, wherein the power rate policy combination includes at least one power rate policy other than the current power rate policy. And obtaining second electricity consumption fees when each electricity price strategy combination is respectively executed in the preset time period based on the electricity consumption in the preset time period. And determining the electricity price strategy required by the user based on the minimum value in the second electricity utilization cost and the first electricity utilization cost. The method can provide the best matching electricity price strategy for the user according to the electricity utilization condition of the user, and improves the utilization rate of the power resource while helping the user to save the electricity fee.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a method of electricity rate recommendation provided according to an exemplary embodiment;
fig. 2 is a block diagram of an electricity price recommending apparatus provided according to an exemplary embodiment;
fig. 3 is a block diagram of an apparatus provided in accordance with an exemplary embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides an electricity price recommendation method, which may include the steps of:
101. the method comprises the steps of obtaining a current electricity price strategy and a first electricity consumption cost used by a user in a preset time period.
Generally, by means of a user marketing service application system and power utilization information acquisition system data of a power company, and by combining mature information analysis technologies such as typical user portrait and big data analysis, a current power price strategy and a corresponding total first power utilization cost of a specified user in a preset time period (generally half a year or a year) can be obtained through provincial codes, user numbers, serial numbers, user names, dates and the like, wherein the current power price strategy can comprise a step power price strategy, a peak-valley power price strategy, a single power price strategy and the like. Wherein
Step electricity price strategy: the method is characterized in that the electricity consumption of each user is set as pricing calculation cost of a plurality of stepped sections or grading times. The energy efficiency can be improved by increasing the electricity price stepwise for the electricity consumption of residents. The differential pricing of market segmentation can be realized through the sectional electric quantity, and the power utilization efficiency is improved.
Peak-to-valley electricity price strategy: the time-of-use electricity price is also called as a power price system for respectively calculating the electricity fee according to peak electricity utilization and valley electricity utilization. Peak power utilization generally means that power utilization units are concentrated, and the charging standard is higher when the power supply is in short supply, such as in the daytime; the low ebb electricity consumption generally refers to the electricity consumption when the electricity consumption unit is less and the power supply is more sufficient, for example, the charging standard is lower at night.
Single electricity price strategy: and the electricity price strategy with inconvenient unit price in the running period of the pricing strategy.
102. And determining at least one power rate policy combination to be operated within a preset time period based on the current power rate policy, the power rate policy combination including at least one power rate policy other than the current power rate policy.
And according to the obtained current electricity price strategy, adopting an electricity price strategy combination except the current electricity price strategy to carry out simulated operation in a preset time period to obtain different electricity expenses, and further carrying out expense comparison according to the electricity consumption of the user. For example, if the current electricity price strategy of the user is a single electricity price strategy, an electricity price strategy combination combining a step electricity price strategy and a peak-valley electricity price strategy is adopted for use.
103. And obtaining second electricity consumption fees when each electricity price strategy combination is respectively executed in the preset time period based on the electricity consumption in the preset time period.
And obtaining the electricity consumption cost when the electricity price strategy combination is operated in the preset time period through the electricity consumption of the user in the preset time period.
104. And determining the electricity price strategy required by the user based on the minimum value in the second electricity utilization cost and the first electricity utilization cost.
The minimum sum of the electricity utilization fees obtained by simulating the operation electricity price strategy combination in the preset time period is compared with the first electricity utilization fee of the current electricity price strategy of the user, and the electricity price strategy most suitable for the user is determined, so that the electricity price of the user is saved, the electricity utilization cost is reduced, and the energy utilization efficiency is improved.
As a possible implementation manner of the above embodiment, determining at least one power rate policy combination to be operated within a preset time period based on the current power rate policy includes:
if the current electricity price strategy is a non-peak-valley electricity price strategy, the corresponding electricity price strategy combination comprises a first electricity price strategy combination and a second electricity price strategy combination, the first electricity price strategy combination comprises a peak-valley electricity price strategy and a step electricity price strategy, and the second electricity price strategy combination comprises the peak-valley electricity price strategy.
And obtaining a third electricity consumption cost when the peak-valley electricity price strategy and the step electricity price strategy are executed in the preset time period based on the electricity consumption in the preset time period.
And obtaining a fourth electricity consumption cost when only the peak-valley electricity price strategy is executed in the preset time period based on the electricity consumption in the preset time period.
And obtaining a fifth electricity consumption fee when only the stepped electricity price strategy is executed in the preset time period based on the electricity consumption in the preset time period.
And obtaining a sixth electricity consumption fee when only the single electricity price strategy is executed in the preset time period based on the electricity consumption in the preset time period.
Specifically, taking a charging period of one year as an example, if the current user does not execute the peak-valley electricity price policy, the electricity charge condition of simultaneously executing the peak-valley electricity price policy and executing the step-by-step electricity price policy is estimated, and the specific calculation process is as follows:
if the annual power consumption is less than or equal to the first grade annual base number:
the first-gear peak electricity charge is the electricity quantity in the peak time period of the year and the electricity price at the time of the first-gear peak;
the first peak electricity charge is the electricity quantity in the current year peak period and the first peak electricity price;
the first-grade electricity charge is the electricity quantity in the current period of the year and the first-grade electricity price;
the first valley electric charge is the electric quantity in the valley period of the current year and the first valley electric price;
the first grade of backbone electricity charge is the electricity quantity in the crest period of this year and the electricity price in the crest period;
and accumulating the third electricity consumption fee as the first-gear electricity fee value.
If the first-grade year base number is less than or equal to the second-grade year base number:
the first-gear peak electricity charge is (the peak time period electricity quantity/the total electricity quantity of the year) the first-gear base number and the first-gear peak electricity price;
the peak-to-peak electricity charge is (the peak time electricity quantity of this year/the total electricity quantity of this year) — the base of one year and the peak-to-peak electricity price;
the first-grade usual electricity charge is (the current-grade electricity quantity/the current-grade total electricity quantity) the first-grade annual base number and the first-grade usual electricity price;
first valley time electricity charge (current valley time electricity quantity/current total electricity quantity) first valley time base number and first valley time electricity price;
the first-grade valley time electricity charge is (the electricity quantity in the valley period of the present year/the total electricity quantity of the present year) the first-grade year base number and the first-grade valley time electricity charge;
the second gear peak time electric charge is (the current year electricity consumption-the first gear year base) ((the current year peak time period electricity quantity/the current year total electricity quantity) ((the peak time period second gear price difference + the peak time period first gear electricity price);
the second gear peak time electricity charge is (electricity consumption in this year-first gear year base) (electricity quantity in the current year peak time period/total electricity quantity in this year) (peak time period second gear price difference + peak time period first gear electricity price);
the second-gear ordinary electricity charge is (electricity consumption in this year-first-gear year base) ((average current period electricity quantity/total current period electricity quantity in this year) ((ordinary period second-gear price difference + ordinary period first-gear electricity price);
the second-grade valley time electricity charge is (electricity consumption in this year-first-grade base number) (electricity quantity in valley time period in this year/total electricity quantity in this year) (valley time second-grade price difference + valley time first-grade electricity price);
the second-gear ridge valley time electricity charge is (electricity consumption of this year-first-gear base) (electricity quantity of this year ridge valley period/total electricity quantity of this year) (ridge valley period second-gear price difference + ridge valley period first-gear electricity price);
and accumulating the third electricity cost as the first-gear electricity cost value and the second-gear electricity cost value.
If the electricity consumption of this year is more than or equal to the second grade year base number:
the peak-to-peak electricity charge is (peak time period electricity quantity/total electricity quantity of this year) the base of one year and the peak-to-peak electricity price;
the peak-to-peak electricity charge is (the peak time electricity quantity of this year/the total electricity quantity of this year) — the base of one year and the peak-to-peak electricity price;
the first-grade usual electricity charge is (the current-grade electricity quantity/the current-grade total electricity quantity) the first-grade annual base number and the first-grade usual electricity price;
first valley time electricity charge (current valley time electricity quantity/current total electricity quantity) first valley time base number and first valley time electricity price;
the first-grade valley time electricity charge is (the electricity quantity in the valley period of the present year/the total electricity quantity of the present year) the first-grade year base number and the first-grade valley time electricity charge;
the second gear peak time electric charge is (second gear year base-first gear year base) (peak time period electric quantity/total electric quantity of this year) ((peak time period second gear price difference + first gear electric price));
the second gear peak time electricity charge (second gear year base-first gear year base) (the current year peak time electric quantity/the current year total electric quantity) (the peak time second gear price difference + the first gear electricity price);
the second-gear ordinary-time electricity charge is (second-gear year base-first-gear year base) ((current-time-period electricity quantity/current-time total electricity quantity) ((current-time-period second-gear price difference + first-gear electricity price);
the second-grade valley time electricity charge is (second-grade year base-first-grade year base) ((valley time period electricity quantity/total electricity quantity in this year) ((valley time period second-grade price difference + first-grade electricity price);
the second-gear crest hour electricity charge is (second-gear year base-first-gear year base) ((this year crest period electricity quantity/this year total electricity quantity) ((crest period second-gear price difference + first-gear electricity price);
the peak time of the third gear is electricity charge (electricity consumption of this year-the cardinal number of the second gear) (electricity quantity of the peak time period of this year/total electricity quantity of this year) (three-gear price difference of the peak time period + one-gear electricity price);
the peak time of three gears is electricity charge (electricity consumption in this year-two gears base) (electricity quantity in the peak time of this year/total electricity quantity in this year) (three gears price difference in the peak time + one gears electricity price);
the third-gear electricity charge is (electricity consumption in this year-second-gear year base) (electricity quantity in this year in the mean period/total electricity quantity in this year) (price difference of third gear in the mean period + first-gear electricity price);
electric charge at the third valley time: (power consumption of this year-two-grade year base) ((valley period power/total power of this year) ((valley period three-grade price difference + first grade power price);
electricity fee at the third step of valley time: (power consumption of this year-two-gear year base) ((power consumption of this year in valley period/total power consumption of this year) ((three-gear price difference + one-gear price of valley period);
and accumulating the third electricity fee as the first-gear electricity fee value, the second-gear electricity fee value and the third-gear electricity fee value.
If the current user does not execute the peak-valley electricity price strategy, estimating the electricity charge condition of executing the peak-valley electricity price strategy but not executing the step electricity price:
the fourth electricity consumption rate (the electricity in the peak period of this year, the electricity price in the peak period of this year) + (the electricity in the peak period of this year, the electricity price in the flat period of this year) + (the electricity price in the valley period of this year ) + (the electricity price in the ridge and valley period of this year).
If the current electricity price strategy is a peak-valley electricity price strategy, the corresponding electricity price strategy combination comprises a third electricity price strategy combination and a fourth electricity price strategy combination, the third electricity price strategy combination comprises a step electricity price strategy, and the fourth electricity price strategy combination comprises a single electricity price strategy.
Specifically, if the current user has executed the peak-valley electricity price strategy, the electricity charge condition that the user does not execute the peak-valley electricity price strategy but executes the step electricity price is estimated:
if the electricity consumption of this year is less than or equal to the first grade year base number:
the fifth electricity consumption rate is the electricity consumption rate of one grade in this year.
If the first-grade year base number is less than or equal to the second-grade year base number:
the fifth electricity consumption rate is the first grade year base rate and the first grade price plus (the electricity consumption rate in this year-the first grade year base rate) (the second grade price difference rate and the first grade price rate).
If the electricity consumption of this year is more than or equal to the second grade year base number:
the fifth electricity consumption rate is the first grade year base, the first grade electricity price plus (second grade year base-first grade year base) (second grade price difference + first grade electricity price) + (the current year electricity consumption rate-second grade year base) (third grade price difference + first grade electricity price).
If the current user executes the peak-valley electricity price strategy, estimating the electricity charge condition that the user does not execute the peak-valley electricity price strategy and does not execute the step electricity price strategy:
the sixth electricity consumption rate is the single electricity price of the residents in the area.
In some embodiments of the present invention, the determining the electricity rate policy required by the user based on the minimum value of the second electricity rates and the first electricity rate includes:
and if the minimum value in the second electricity consumption cost is less than the first electricity consumption cost, sending first recommendation information to the user, wherein the first recommendation information comprises the electricity price strategy combination corresponding to the minimum value and the cost saving information.
And if the minimum value in the second electricity consumption cost is larger than the first electricity consumption cost, sending second recommendation information to the user, wherein the second recommendation information comprises the keeping information of the current electricity price strategy.
And if the minimum value in the second electricity consumption cost is equal to the first electricity consumption cost, sending electricity price strategy introduction information including the current electricity price strategy to the user.
Specifically, after comparing the minimum value of the second electricity consumption rate with the first electricity consumption rate, if the current policy is not to execute the peak-to-valley electricity price policy, the following advice information may be given:
when the peak-valley electricity price strategy is not executed: prompt "according to your present account data this year, current strategy is more cost effective, suggesting to continue to remain. "
When executing the peak-valley electricity price strategy, the method comprises the following steps: prompt "depending on the current billing data of you this year, it is expected that XX unit electricity charge will be saved for you if time-of-use electricity prices are executed! And advising you to execute a peak-valley electricity price strategy. "
Electricity savings-annual cumulative electricity costs for current strategies-estimated electricity costs for implementing peak-to-valley electricity price strategies.
And the two modes have equal electric charge: the prompt that whether the time-of-use electricity price is executed or not according to the current account data of the user in this year has little influence on the user can be provided for the user to know the electricity price policy at first, and various electricity price policies are pushed for the user to check.
If the current strategy is to execute a peak-valley electricity price strategy, the following suggestions are given:
when executing the peak-valley electricity price strategy, the electricity price is calculated: current strategies are more cost effective based on your current account data this year, suggesting continued maintenance.
When the peak-valley electricity price strategy is not executed, the electricity price is calculated: not performing the Peak valley Electricity price strategy based on the current billing data of you this year is expected to save A dollar electricity charge! And advising you to cancel the execution of the peak-valley electricity price strategy.
Electricity savings is the annual cumulative electricity rate for the current strategy-an estimated electricity rate for which the peak-to-valley electricity rate strategy is not implemented.
And the two modes have equal electric charge: according to the current bill data of your this year, whether to execute the peak valley price policy has little influence on your, the price policy!
It is understood that, for the specific content of the prompt message, those skilled in the art can set the prompt message according to the actual needs, and the invention is not limited herein.
Based on the same design concept, referring to fig. 2, an embodiment of the present invention further provides an electricity price recommending apparatus, which can perform the steps of the electricity price recommending method according to the above embodiment, and the apparatus can include:
the policy obtaining module 201 is configured to obtain a current electricity price policy and a first electricity cost used by a user within a preset time period.
A policy determining module 202, configured to determine at least one power rate policy combination to be operated within a preset time period based on the current power rate policy, where the power rate policy combination includes at least one power rate policy other than the current power rate policy.
The fee determining module 203 is configured to obtain second electricity fees when each electricity price policy combination is executed in a preset time period, based on the electricity consumption in the preset time period. And
and the policy recommending module 204 is used for determining the electricity price policy required by the user based on the minimum value in the second electricity utilization fees and the first electricity utilization fee.
The electricity price recommending device has the same beneficial effects as the electricity price recommending method, and the invention is not repeated herein.
Referring to fig. 3, an embodiment of the present invention also provides an apparatus, which may include: a memory 301 and a processor 302. A memory 301 for storing programs. A processor 302 for executing the program to realize the steps of the electricity price recommending method according to the above embodiment.
Embodiments of the present invention also provide a storage medium having a computer program stored thereon, which when executed by a processor, implements the steps of the electricity price recommendation method described in the above embodiments.
According to the electricity price recommending method, the electricity price recommending device, the electricity price recommending equipment and the storage medium, the electricity cost of the current electricity price strategy executed by the user is compared with the electricity cost of other model budgets, the preferential electricity cost condition is provided for the user, the preferential strategy is displayed for the user, the reasonable electricity price strategy change suggestion of the user is given, the user is helped to save the electricity cost, and meanwhile the energy utilization rate is improved.
While, for purposes of simplicity of explanation, the methodologies are shown and described as a series of acts, it will be appreciated by those skilled in the art that the claimed subject matter is not limited by the order of acts, as some steps may, in accordance with the claimed subject matter, occur in other orders and/or concurrently. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the device-like embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The steps in the method of each embodiment of the present invention may be sequentially adjusted, combined, and deleted according to actual needs, and the technical features described in each embodiment may be replaced or combined.
The modules and sub-modules in the device and the terminal of the embodiments of the invention can be combined, divided and deleted according to actual needs.
In the embodiments provided in the present invention, it should be understood that the disclosed terminal, apparatus and method may be implemented in other ways. For example, the above-described terminal embodiments are merely illustrative, and for example, the division of a module or a sub-module is only one logical division, and there may be other divisions when the terminal is actually implemented, for example, a plurality of sub-modules or modules may be combined or integrated into another module, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
The modules or sub-modules described as separate parts may or may not be physically separate, and parts that are modules or sub-modules may or may not be physical modules or sub-modules, may be located in one place, or may be distributed over a plurality of network modules or sub-modules. Some or all of the modules or sub-modules can be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, each functional module or sub-module in each embodiment of the present invention may be integrated into one processing module, or each module or sub-module may exist alone physically, or two or more modules or sub-modules may be integrated into one module. The integrated modules or sub-modules may be implemented in the form of hardware, or may be implemented in the form of software functional modules or sub-modules.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software unit executed by a processor, or in a combination of the two. The software cells may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An electricity rate recommendation method, comprising:
acquiring a current electricity price strategy and a first electricity consumption charge used by a user in a preset time period;
determining at least one electricity price strategy combination to be operated in the preset time period based on the current electricity price strategy, wherein the electricity price strategy combination at least comprises one electricity price strategy except the current electricity price strategy;
obtaining second electricity consumption fees when each electricity price strategy combination is executed in the preset time period respectively based on the electricity consumption in the preset time period;
and determining the electricity price strategy required by the user based on the minimum value in the second electricity consumption cost and the first electricity consumption cost.
2. The method of claim 1, wherein the determining at least one power rate policy combination to operate within the preset time period based on the current power rate policy comprises:
if the current electricity price strategy is a non-peak-valley electricity price strategy, the corresponding electricity price strategy combination comprises a first electricity price strategy combination and a second electricity price strategy combination, the first electricity price strategy combination comprises a peak-valley electricity price strategy and a step electricity price strategy, and the second electricity price strategy combination comprises the peak-valley electricity price strategy.
3. The method of claim 1, wherein the determining at least one power rate policy combination to operate within the preset time period based on the current power rate policy comprises:
if the current electricity price strategy is a peak-valley electricity price strategy, the corresponding electricity price strategy combination comprises a third electricity price strategy combination and a fourth electricity price strategy combination, the third electricity price strategy combination comprises a step electricity price strategy, and the fourth electricity price strategy combination comprises a single electricity price strategy.
4. The method according to claim 1, wherein determining the electricity rate policy required by the user based on the minimum value of the second electricity rates and the first electricity rate comprises:
if the minimum value in the second electricity consumption cost is smaller than the first electricity consumption cost, sending first recommendation information to a user, wherein the first recommendation information comprises an electricity price strategy combination and cost saving information corresponding to the minimum value;
and if the minimum value in the second electricity consumption cost is larger than the first electricity consumption cost, sending second recommendation information to the user, wherein the second recommendation information comprises the keeping information of the current electricity price strategy.
5. The method according to claim 4, wherein the determining of the electricity rate policy required by the user based on the minimum value of the second electricity rates and the first electricity rate further comprises:
and if the minimum value in the second electricity consumption cost is equal to the first electricity consumption cost, sending electricity price strategy introduction information including the current electricity price strategy to a user.
6. The method according to claim 2, wherein the obtaining of the second electricity usage fee when each combination of electricity price strategies is executed in the preset time period based on the electricity usage amount in the preset time period comprises:
obtaining a third electricity consumption cost when the peak-valley electricity price strategy and the step electricity price strategy are executed in the preset time period based on the electricity consumption in the preset time period;
and obtaining a fourth electricity consumption cost when only the peak-valley electricity price strategy is executed in the preset time period based on the electricity consumption in the preset time period.
7. The method according to claim 3, wherein the obtaining of the second electricity usage fee when each combination of electricity price strategies is executed in the preset time period based on the electricity usage amount in the preset time period comprises:
obtaining a fifth electricity consumption fee when only the step electricity price strategy is executed in the preset time period based on the electricity consumption in the preset time period;
and obtaining a sixth electricity consumption fee when only the single electricity price strategy is executed in the preset time period based on the electricity consumption in the preset time period.
8. An electricity price recommending apparatus characterized by comprising:
the system comprises a strategy acquisition module, a first power consumption rate acquisition module and a second power consumption rate acquisition module, wherein the strategy acquisition module is used for acquiring a current power price strategy and a first power consumption rate used by a user within a preset time period;
a policy determination module, configured to determine, based on the current electricity price policy, at least one electricity price policy combination to be operated within the preset time period, where the electricity price policy combination includes at least one electricity price policy other than the current electricity price policy;
the cost determination module is used for obtaining second electricity consumption cost when each electricity price strategy combination is executed in the preset time period based on the electricity consumption in the preset time period; and
and the strategy recommending module is used for determining the electricity price strategy required by the user based on the minimum value in the second electricity consumption cost and the first electricity consumption cost.
9. An apparatus, comprising: a memory and a processor;
the memory is used for storing programs;
the processor, which executes the program, implements the respective steps of the electricity price recommending method according to any one of claims 1 to 7.
10. A storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the steps of the electricity price recommendation method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210749667.6A CN115049459A (en) | 2022-06-29 | 2022-06-29 | Electricity price recommendation method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210749667.6A CN115049459A (en) | 2022-06-29 | 2022-06-29 | Electricity price recommendation method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115049459A true CN115049459A (en) | 2022-09-13 |
Family
ID=83165269
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210749667.6A Pending CN115049459A (en) | 2022-06-29 | 2022-06-29 | Electricity price recommendation method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115049459A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115512488A (en) * | 2022-11-24 | 2022-12-23 | 国网江苏省电力有限公司营销服务中心 | Time-sharing electric charge calculation method and device based on flexible rate electric energy meter |
-
2022
- 2022-06-29 CN CN202210749667.6A patent/CN115049459A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115512488A (en) * | 2022-11-24 | 2022-12-23 | 国网江苏省电力有限公司营销服务中心 | Time-sharing electric charge calculation method and device based on flexible rate electric energy meter |
| CN115512488B (en) * | 2022-11-24 | 2023-04-28 | 国网江苏省电力有限公司营销服务中心 | Time-sharing electricity charge calculation method and device based on flexible rate electric energy meter |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Young et al. | Potential impacts of residential PV and battery storage on Australia's electricity networks under different tariffs | |
| CN110599042A (en) | Intelligent power consumption analysis method and system based on cloud computing | |
| Vonsien et al. | Li-ion battery storage in private households with PV systems: Analyzing the economic impacts of battery aging and pooling | |
| CN109087213B (en) | Distributed electric power spot market transaction simulation method | |
| CN107766998A (en) | A kind of order reward processing method and server | |
| CN109325537A (en) | Power consumption management method, apparatus, computer equipment and storage medium | |
| CN107730398A (en) | The recommendation method, apparatus and storage medium of electricity consumption charging mode | |
| CN115049459A (en) | Electricity price recommendation method, device, equipment and storage medium | |
| CN115481905A (en) | Power grid power demand response method participated by user and related device | |
| CN111026791B (en) | User type judgment method based on resident fine-grained electricity consumption data | |
| McRae | Efficiency and equity effects of electricity metering: evidence from Colombia | |
| Kühnbach et al. | How much energy autonomy can decentralised photovoltaic generation provide? A case study for Southern Germany | |
| Saviuc et al. | A cross-european analysis of the impact of electricity pricing on battery uptake in residential microgrids with photovoltaic units | |
| Schofield | Dynamic time-of-use electricity pricing for residential demand response: Design and analysis of the Low Carbon London smart-metering trial | |
| US11720910B2 (en) | System and method for customer behavioral load shaping for adjusting customer energy consumption | |
| Yang | Demand side management in Nepal | |
| CN111695943A (en) | Optimization management method considering floating peak electricity price | |
| CN112365174B (en) | Residential electricity distribution decision-making method and system based on electricity consumption behavior preference | |
| CN111025068A (en) | Method and device for reading load curve data of electric meter and electronic equipment | |
| CN105488973A (en) | Electricity charging automatic generation system | |
| CN115545588A (en) | Fixed energy storage system site selection determining method and device, electronic equipment and storage medium | |
| Sæle et al. | Evaluation of alternative network tariffs-for residential customers with hourly metering of electricity consumption | |
| Vonsien et al. | Cost-effectiveness of Li-Ion battery storage with a special focus on photovoltaic systems in private households | |
| CN114358753A (en) | Dynamic energy consumption charging apportionment method, system, computer equipment and storage medium | |
| CN111969598A (en) | User side energy storage optimization method and system considering incentive type demand side response |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |