CN116993336A - Electric energy meter electricity selling quick settlement method - Google Patents
Electric energy meter electricity selling quick settlement method Download PDFInfo
- Publication number
- CN116993336A CN116993336A CN202311265245.2A CN202311265245A CN116993336A CN 116993336 A CN116993336 A CN 116993336A CN 202311265245 A CN202311265245 A CN 202311265245A CN 116993336 A CN116993336 A CN 116993336A
- Authority
- CN
- China
- Prior art keywords
- electric energy
- settlement
- consumption
- energy meter
- electric
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 34
- 230000005611 electricity Effects 0.000 title claims abstract description 17
- 238000005265 energy consumption Methods 0.000 claims abstract description 66
- 230000000737 periodic effect Effects 0.000 claims description 7
- 238000010276 construction Methods 0.000 claims description 3
- 238000005457 optimization Methods 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 1
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
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/08—Payment architectures
- G06Q20/14—Payment architectures specially adapted for billing systems
- G06Q20/145—Payments according to the detected use or quantity
-
- 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
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/22—Payment schemes or models
-
- 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
- G06Q30/0202—Market predictions or forecasting for commercial activities
-
- 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
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F15/00—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity
- G07F15/003—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity for electricity
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Finance (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application provides a method for rapidly settling the electricity selling of an electric energy meter, which comprises the following steps: step one: an MCU micro-control unit is added in the electric energy meter, the MCU micro-control unit is communicated with the electric energy meter and acquires the reading information of the electric energy meter in real time, and the MCU micro-control unit is communicated with a settlement system of the background of an electric vendor; step two: when the electric energy is consumed, the MCU micro-control unit records the initial reading displayed by the electric energy meter. According to the application, the electric energy consumption prediction model is constructed, the newly acquired electric energy consumption data is utilized to carry out continuous optimization training on the prediction model, the electric energy consumption of a stage can be predicted, the settlement system displays and updates the electric energy predicted consumption in the next interval time, the preparation of electric energy and the budget of cost are facilitated, the quick settlement of electric energy cost can be realized by constructing the quick settlement model, three settlement options are provided for an electric vendor, and the method is applicable to different settlement demands of the electric vendor.
Description
Technical Field
The application relates to a settlement method, in particular to a quick settlement method for electricity selling of an electric energy meter, and belongs to the technical field of electric energy meters.
Background
In a user use scene, an electric energy meter usually uses a prepayment mode to settle accounts, a user needs to purchase a certain amount of electric power to use electric energy, in an electric selling scene in the prior art, an electric seller needs to settle accounts the sold electric power as soon as possible so as to ensure smooth funds of the electric energy meter, however, the conventional electric energy meter settlement method has the problems of long settlement period, complicated procedures and the like, cannot meet the actual requirements of the electric seller, cannot predict the electric energy consumption in the next stage time, and is further unfavorable for preparation of electric energy and budget of cost.
Disclosure of Invention
In view of the above, the present application provides a method for quick settlement of electricity selling of an electric energy meter, which solves or alleviates the technical problems existing in the prior art, and at least provides a beneficial choice.
The technical scheme of the embodiment of the application is realized as follows: a quick settlement method for electricity selling of an electric energy meter comprises the following steps:
step one: an MCU micro-control unit is added in the electric energy meter, the MCU micro-control unit is communicated with the electric energy meter and acquires the reading information of the electric energy meter in real time, and the MCU micro-control unit is communicated with a settlement system of the background of an electric vendor;
step two: when the electric energy is consumed, the MCU micro-control unit records an initial reading displayed by the electric energy meter; when the power consumption is stopped, the MCU micro-control unit records the termination reading of the electric energy meter;
step three: the MCU micro-control unit automatically acquires the reading information of the electric energy meter when the electric energy meter reads, calculates the actual electric energy consumption according to the initial electric energy value and the current electric energy meter reading, and transmits the actual electric energy consumption information to a settlement system of an electric vendor;
step four: the MCU micro-control unit periodically acquires the total power consumption in the interval time of the electric energy meter, and establishes an electric energy consumption database;
step five: predicting the total power consumption in the next interval time according to the total power consumption in the current interval time, and constructing a power consumption prediction model;
step six: continuously acquiring the total power consumption in the interval time in the construction process of the power consumption prediction model, and continuously optimizing and training the prediction model by utilizing the newly acquired power consumption data;
step seven: according to the electric energy consumption prediction model, sending the estimated total consumption amount of the electric energy in the next interval time to a settlement system of the electric vendor;
step eight: the settlement system of the electric vendor displays and updates the current electric energy consumption and the estimated electric energy consumption in the next interval time in real time;
step nine: the settlement system of the e-seller can select one of a settlement mode for carrying out real-time settlement according to the current electric energy consumption, a settlement mode for setting time period automatic settlement or a settlement mode for automatically settling according to the electric energy consumption threshold value to carry out settlement;
step ten: constructing a quick settlement model in a settlement system of the electronic commerce vendor according to the three settlement modes;
step eleven: when the settlement is carried out, after one of three settlement modes is selected by the settlement system of the electronic commerce vendor, the settlement system of the electronic commerce vendor carries out quick settlement according to the quick settlement model.
Further preferably, in the first step, the MCU micro-control unit is configured to obtain reading information of the electric energy meter in real time, and the MCU micro-control unit sends the processed electric energy consumption data to a background system of an electric vendor, and updates the electric energy consumption data in real time through the system of the electric vendor.
Further preferably, in the second and third steps, the MCU micro-control unit may obtain the actual consumption of electric energy by calculating the difference between the initial reading of the electric energy meter and the final reading of the electric energy meter, and transmit the actual consumption of electric energy to the electric vendor settlement system, and directly display the actual consumption of electric energy through the electric vendor settlement system.
Further preferably, in the fourth step, the total amount of electric energy consumed in the interval time is stored by an electric energy consumption database, and the storage element of the total amount of electric energy consumed is: the starting time point and the ending time point are stored in a sectional mode, and the ending time point of the first interval time is the starting time point of the second interval time.
Further preferably, in the fifth step, the consumption prediction model is composed of a first interval time element, a second interval time element, and an nth interval time element, and the time interval elements include a duration in an interval range and a total amount of electric energy consumption in the duration.
Further preferably, in step six, an electric energy consumption prediction model is constructed through a plurality of interval time elements, and when the prediction model is continuously and optimally trained by using newly acquired electric energy consumption data, the total number n of interval time elements, the average electric energy consumption h of interval time elements, the newly acquired electric energy consumption data i, and the predicted electric energy consumption w in the next interval time are calculated according to the following specific calculation formula:。
further preferably, in the seventh and eighth steps, the MCU micro-control unit sends the estimated total consumption of the electric energy in the next interval time to the settlement system of the electric vendor, and at the same time, the MCU micro-control unit sends the total consumption of the electric energy from the last time to the current time to the settlement system of the electric vendor in real time.
Further preferably, in step nine, the electronic vendor may select one of three settlement modes, i.e., real-time automatic settlement, periodic automatic settlement, and threshold automatic settlement, according to the real-time requirements.
Further preferably, in step ten, the quick settlement model is composed of three elements of a real-time automatic settlement mode, a periodic automatic settlement mode and a threshold automatic settlement mode, wherein the real-time automatic settlement mode is: the total amount of the electric energy consumption from the last expense settlement to the current moment is settled; the automatic settlement mode of the period is as follows: setting period duration, and settling the total electric energy consumption in the period when the period expires; the automatic threshold settlement mode is as follows: when the total amount of electric energy consumption reaches a set value, the total amount of electric energy consumption is settled.
Further preferably, in step eleven, the settlement system of the electric vendor automatically performs fee settlement for the consumption amount of the electric power in association with the settlement rate at the time of settlement.
By adopting the technical scheme, the embodiment of the application has the following advantages: the application can read and calculate the power consumption by arranging the MCU micro-control unit, can predict the power consumption of a stage by constructing the power consumption prediction model and utilizing the newly acquired power consumption data to perform continuous optimization training on the prediction model, and can display and update the power consumption predicted in the next interval time in real time by the settlement system of the electric vendor, thereby being beneficial to the preparation of the power and the budget of the cost.
The foregoing summary is for the purpose of the specification only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of the present application will become apparent by reference to the drawings and the following detailed description.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the steps of the present application.
Detailed Description
Hereinafter, only certain exemplary embodiments are briefly described. As will be recognized by those of skill in the pertinent art, the described embodiments may be modified in various different ways without departing from the spirit or scope of the present application. Accordingly, the drawings and description are to be regarded as illustrative in nature and not as restrictive.
Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the embodiment of the application provides a method for rapidly settling electricity selling of an electric energy meter, which comprises the following steps:
step one: an MCU micro-control unit is added in the electric energy meter, the MCU micro-control unit is communicated with the electric energy meter and acquires the reading information of the electric energy meter in real time, and the MCU micro-control unit is communicated with a settlement system of the background of an electric vendor;
step two: when the electric energy is consumed, the MCU micro-control unit records an initial reading displayed by the electric energy meter; when the power consumption is stopped, the MCU micro-control unit records the termination reading of the electric energy meter;
step three: the MCU micro-control unit automatically acquires the reading information of the electric energy meter when the electric energy meter reads, calculates the actual electric energy consumption according to the initial electric energy value and the current electric energy meter reading, and transmits the actual electric energy consumption information to a settlement system of an electric vendor;
step four: the MCU micro-control unit periodically acquires the total power consumption in the interval time of the electric energy meter, and establishes an electric energy consumption database;
step five: predicting the total power consumption in the next interval time according to the total power consumption in the current interval time, and constructing a power consumption prediction model;
step six: continuously acquiring the total power consumption in the interval time in the construction process of the power consumption prediction model, and continuously optimizing and training the prediction model by utilizing the newly acquired power consumption data;
step seven: according to the electric energy consumption prediction model, sending the estimated total consumption amount of the electric energy in the next interval time to a settlement system of the electric vendor;
step eight: the settlement system of the electric vendor displays and updates the current electric energy consumption and the estimated electric energy consumption in the next interval time in real time;
step nine: the settlement system of the e-seller can select one of a settlement mode for carrying out real-time settlement according to the current electric energy consumption, a settlement mode for setting time period automatic settlement or a settlement mode for automatically settling according to the electric energy consumption threshold value to carry out settlement;
step ten: constructing a quick settlement model in a settlement system of the electronic commerce vendor according to the three settlement modes;
step eleven: when the settlement is carried out, after one of three settlement modes is selected by the settlement system of the electronic commerce vendor, the settlement system of the electronic commerce vendor carries out quick settlement according to the quick settlement model.
In one embodiment, in the first step, the MCU micro-control unit is configured to obtain the reading information of the electric energy meter in real time, and the MCU micro-control unit sends the processed electric energy consumption data to a background system of an electric vendor, and updates the electric energy consumption data in real time through the system of the electric vendor, so that the background system of the electric vendor can display the latest electric energy consumption data in real time.
In one embodiment, in the second and third steps, the MCU micro-control unit calculates the difference between the initial reading of the electric energy meter and the final reading of the electric energy meter, so as to obtain the actual consumption of electric energy, transmit the actual consumption of electric energy to the electric vendor settlement system, directly display the actual consumption of electric energy through the electric vendor settlement system, and calculate the difference between the final reading and the initial reading, so as to obtain the actual consumption of electric energy.
In one embodiment, in the fourth step, the total amount of electric energy consumed in the interval time is stored by the electric energy consumption database, and the storage element of the total amount of electric energy consumed is: the starting time point and the ending time point are stored in a sectional mode, and the ending time point of the first interval time is the starting time point of the second interval time.
In one embodiment, in step five and step six, the consumption prediction model is composed of a first interval time element, a second interval time element, an nth interval time element, the interval time elements including zonesThe method comprises the steps of constructing an electric energy consumption prediction model through a plurality of interval time elements, and when continuously optimizing and training the prediction model by utilizing newly acquired electric energy consumption data, the total number n of the interval time elements, the average electric energy consumption h of the interval time elements, the newly acquired electric energy consumption data i and the electric energy estimated consumption w in the next interval time are calculated according to the following specific calculation formula:and then the electric energy consumption prediction model can be trained, updated and optimized through the formula.
In a seventh and eighth steps, the MCU sends the estimated total power consumption in the next interval time to the settlement system of the electric vendor, and the MCU sends the total power consumption from the last time to the current time to the settlement system of the electric vendor in real time, so that the electric vendor can settle the electric power cost in a periodic automatic settlement manner.
In one embodiment, in step nine and step ten, the electronic vendor may select one of three settlement modes, real-time automatic settlement, periodic automatic settlement, and threshold automatic settlement according to the real-time requirements. The quick settlement model consists of three elements of a real-time automatic settlement mode, a periodic automatic settlement mode and a threshold automatic settlement mode, wherein the real-time automatic settlement mode is as follows: the total amount of the electric energy consumption from the last expense settlement to the current moment is settled; the automatic settlement mode of the period is as follows: setting period duration, and settling the total electric energy consumption in the period when the period expires; the automatic threshold settlement mode is as follows: when the total electric energy consumption reaches a set value, the total electric energy consumption is settled, and then the electric vendor can select a corresponding expense settlement mode according to actual requirements to settle the electric energy expense.
In one embodiment, in step eleven, the settlement system of the electronic vendor automatically performs the fee settlement on the consumption of the electric energy in combination with the settlement rate, so as to ensure the accuracy of the settlement fee.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that various changes and substitutions are possible within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. The quick settlement method for electricity selling of the electric energy meter is characterized by comprising the following steps of:
step one: an MCU micro-control unit is added in the electric energy meter, the MCU micro-control unit is communicated with the electric energy meter and acquires the reading information of the electric energy meter in real time, and the MCU micro-control unit is communicated with a settlement system of the background of an electric vendor;
step two: when the electric energy is consumed, the MCU micro-control unit records an initial reading displayed by the electric energy meter; when the power consumption is stopped, the MCU micro-control unit records the termination reading of the electric energy meter;
step three: the MCU micro-control unit automatically acquires the reading information of the electric energy meter when the electric energy meter reads, calculates the actual electric energy consumption according to the initial electric energy value and the current electric energy meter reading, and transmits the actual electric energy consumption information to a settlement system of an electric vendor;
step four: the MCU micro-control unit periodically acquires the total power consumption in the interval time of the electric energy meter, and establishes an electric energy consumption database;
step five: predicting the total power consumption in the next interval time according to the total power consumption in the current interval time, and constructing a power consumption prediction model;
step six: continuously acquiring the total power consumption in the interval time in the construction process of the power consumption prediction model, and continuously optimizing and training the prediction model by utilizing the newly acquired power consumption data;
step seven: according to the electric energy consumption prediction model, sending the estimated total consumption amount of the electric energy in the next interval time to a settlement system of the electric vendor;
step eight: the settlement system of the electric vendor displays and updates the current electric energy consumption and the estimated electric energy consumption in the next interval time in real time;
step nine: the settlement system of the e-seller can select one of a settlement mode for carrying out real-time settlement according to the current electric energy consumption, a settlement mode for setting time period automatic settlement or a settlement mode for automatically settling according to the electric energy consumption threshold value to carry out settlement;
step ten: constructing a quick settlement model in a settlement system of the electronic commerce vendor according to the three settlement modes;
step eleven: when the settlement is carried out, after one of three settlement modes is selected by the settlement system of the electronic commerce vendor, the settlement system of the electronic commerce vendor carries out quick settlement according to the quick settlement model.
2. The method for rapidly settling the electricity selling of the electric energy meter according to claim 1, wherein the method comprises the following steps of: in the first step, the MCU micro-control unit is used for acquiring the reading information of the electric energy meter in real time, the MCU micro-control unit sends the processed electric energy consumption data to a background system of an electric vendor, and the electric energy consumption data is updated in real time through the system of the electric vendor.
3. The method for rapidly settling the electricity selling of the electric energy meter according to claim 1, wherein the method comprises the following steps of: in the second and third steps, the MCU micro-control unit can obtain the actual consumption of the electric energy by calculating the difference between the initial reading of the electric energy meter and the final reading of the electric energy meter, and transmits the actual consumption of the electric energy to the electric vendor settlement system and directly displays the actual consumption of the electric energy through the electric vendor settlement system.
4. The method for rapidly settling the electricity selling of the electric energy meter according to claim 1, wherein the method comprises the following steps of: in the fourth step, the total power consumption in the interval time is stored through the power consumption database, and the storage elements of the total power consumption are as follows: the starting time point and the ending time point are stored in a sectional mode, and the ending time point of the first interval time is the starting time point of the second interval time.
5. The method for rapidly settling the electricity selling of the electric energy meter according to claim 1, wherein the method comprises the following steps of: in the fifth step, the consumption prediction model is composed of a first interval time element, a second interval time element and an nth interval time element, and the time interval elements comprise duration in an interval range and total electric energy consumption in the duration.
6. The method for rapidly settling the electricity selling of the electric energy meter according to claim 1, wherein the method comprises the following steps of: in step six, an electric energy consumption prediction model is constructed through a plurality of interval time elements, and when the prediction model is continuously optimized and trained by utilizing newly acquired electric energy consumption data, the total number n of interval time elements, the average electric energy consumption h of the interval time elements, the newly acquired electric energy consumption data i and the electric energy predicted consumption w in the next interval time are calculated according to the following specific calculation formula:。
7. the method for rapidly settling the electricity selling of the electric energy meter according to claim 1, wherein the method comprises the following steps of: in the seventh step and the eighth step, the MCU micro-control unit sends the estimated consumption total amount of the electric energy in the next interval time to the settlement system of the electric vendor, and simultaneously the MCU micro-control unit sends the electric energy consumption total amount from the last time to the current time after the settlement of the electric vendor to the settlement system of the electric vendor in real time.
8. The method for rapidly settling the electricity selling of the electric energy meter according to claim 1, wherein the method comprises the following steps of: in step nine, the electronic vendor may select one of three settlement modes, i.e., real-time automatic settlement, periodic automatic settlement, and threshold automatic settlement, according to the real-time requirements.
9. The method for rapidly settling the electricity selling of the electric energy meter according to claim 1, wherein the method comprises the following steps of: in step ten, the quick settlement model is composed of three elements of a real-time automatic settlement mode, a periodic automatic settlement mode and a threshold automatic settlement mode, wherein the real-time automatic settlement mode is as follows: the total amount of the electric energy consumption from the last expense settlement to the current moment is settled; the automatic settlement mode of the period is as follows: setting period duration, and settling the total electric energy consumption in the period when the period expires; the automatic threshold settlement mode is as follows: when the total amount of electric energy consumption reaches a set value, the total amount of electric energy consumption is settled.
10. The method for rapidly settling the electricity selling of the electric energy meter according to claim 1, wherein the method comprises the following steps of: in step eleven, in the settlement system of the electric vendor, the settlement rate is automatically combined to perform the fee settlement on the consumption of the electric energy.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311265245.2A CN116993336B (en) | 2023-09-28 | 2023-09-28 | Electric energy meter electricity selling quick settlement method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311265245.2A CN116993336B (en) | 2023-09-28 | 2023-09-28 | Electric energy meter electricity selling quick settlement method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116993336A true CN116993336A (en) | 2023-11-03 |
| CN116993336B CN116993336B (en) | 2023-12-05 |
Family
ID=88527057
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311265245.2A Active CN116993336B (en) | 2023-09-28 | 2023-09-28 | Electric energy meter electricity selling quick settlement method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116993336B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101329790A (en) * | 2008-07-18 | 2008-12-24 | 深圳市思达仪表有限公司 | Pre-payment time-sharing electric energy meter system for CPU card |
| CN109034440A (en) * | 2017-06-12 | 2018-12-18 | 华北电力大学 | A kind of sale of electricity quotient's interest analysis method considering load prediction precision |
| CN112651770A (en) * | 2020-12-07 | 2021-04-13 | 山东大学 | Load declaration optimization method and system for power selling merchants in power spot market |
| CN113759171A (en) * | 2021-09-09 | 2021-12-07 | 国网信息通信产业集团有限公司 | Settlement metering device and processing method |
| CN115862224A (en) * | 2022-12-02 | 2023-03-28 | 安徽南瑞中天电力电子有限公司 | High-precision real-time charging method, settlement method and system based on intelligent electric energy meter |
-
2023
- 2023-09-28 CN CN202311265245.2A patent/CN116993336B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101329790A (en) * | 2008-07-18 | 2008-12-24 | 深圳市思达仪表有限公司 | Pre-payment time-sharing electric energy meter system for CPU card |
| CN109034440A (en) * | 2017-06-12 | 2018-12-18 | 华北电力大学 | A kind of sale of electricity quotient's interest analysis method considering load prediction precision |
| CN112651770A (en) * | 2020-12-07 | 2021-04-13 | 山东大学 | Load declaration optimization method and system for power selling merchants in power spot market |
| CN113759171A (en) * | 2021-09-09 | 2021-12-07 | 国网信息通信产业集团有限公司 | Settlement metering device and processing method |
| CN115862224A (en) * | 2022-12-02 | 2023-03-28 | 安徽南瑞中天电力电子有限公司 | High-precision real-time charging method, settlement method and system based on intelligent electric energy meter |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116993336B (en) | 2023-12-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109177802B (en) | Electric automobile ordered charging system and method based on wireless communication | |
| US20130332327A1 (en) | Hybrid Energy Market and Currency System for Total Energy Management | |
| EP4251464B1 (en) | Method and system for adaptively charging of electric vehicles | |
| CN107480907A (en) | The optimization method of provincial power network power purchase proportioning containing wind-powered electricity generation under a kind of time-of-use tariffs | |
| CN114977330A (en) | Building distributed photovoltaic-storage battery system continuous operation scheduling method and platform | |
| JP2015204698A (en) | Energy management apparatus, energy management method, and energy management system | |
| CN112785435A (en) | Model for assisting unit to quote in spot transaction declaration | |
| AU2011235983B2 (en) | Eco score analytics system | |
| JP2001344412A (en) | Method and system for supporting energy saving at home | |
| CN112529257A (en) | Energy storage power station joint optimization method and system considering AGC signal influence | |
| JP2017151756A (en) | Power selling timing optimization control system, power selling timing optimization control method, and power selling timing optimization control program | |
| CN110738368A (en) | electric energy declaration deviation amount income recovery calculation method and system | |
| CN114172151A (en) | Multi-type electric power market combined bidding method suitable for pumped storage power station | |
| CN116993336B (en) | Electric energy meter electricity selling quick settlement method | |
| CN106682934A (en) | Bidding strategy for electricity purchase | |
| CN110648176B (en) | Method, device and equipment for connecting power capacity market and electric energy market | |
| JP6394211B2 (en) | Power control apparatus, power control method, program, and power control system | |
| CN116012051A (en) | Novel energy storage participation power market clearing method based on flexibility | |
| CN114676979B (en) | Energy scheduling method and device, computer equipment and storage medium | |
| CN115360741A (en) | Wind storage flexible control method and device based on deep reinforcement learning in spot-cargo scene | |
| EP1271366A1 (en) | Energy-saving assisting method and system for household | |
| CN114219188A (en) | Charging pile aggregated load active power setting method, device, equipment and medium | |
| WO2017035571A1 (en) | Analysing smart meter data for solar or storage recommendation | |
| JP2005250709A (en) | Method and device for setting charge | |
| JP2015019543A (en) | Power consumption calculation method, and power consumption calculation device |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |