CN113743743A - Method and device for screening transaction combinations of electricity selling companies - Google Patents
Method and device for screening transaction combinations of electricity selling companies Download PDFInfo
- Publication number
- CN113743743A CN113743743A CN202110926334.1A CN202110926334A CN113743743A CN 113743743 A CN113743743 A CN 113743743A CN 202110926334 A CN202110926334 A CN 202110926334A CN 113743743 A CN113743743 A CN 113743743A
- Authority
- CN
- China
- Prior art keywords
- electric quantity
- profit
- data
- parameters
- screening
- 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 133
- 238000012216 screening Methods 0.000 title claims abstract description 71
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000004088 simulation Methods 0.000 claims abstract description 56
- 238000004364 calculation method Methods 0.000 claims description 32
- 238000000354 decomposition reaction Methods 0.000 claims description 12
- 230000000694 effects Effects 0.000 abstract description 3
- 238000011835 investigation Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000011161 development 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
- 239000002699 waste material Substances 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- 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
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
-
- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention discloses a screening method and a device for trade combination of an electricity selling company, wherein the method comprises the following steps: respectively acquiring historical electricity consumption data corresponding to previous electricity consumption transaction combinations of a plurality of clients, and decomposing and adding the historical electricity consumption data to obtain electricity consumption data; calculating profit and loss index parameters corresponding to the prior electric quantity transaction combination by adopting the electric quantity use data; respectively comparing the profit and loss index parameters with a plurality of preset index parameters in a preset index set to obtain comparison results; and screening to obtain a target electric quantity transaction combination based on the comparison result. The method and the system can calculate the corresponding profit index parameter based on the historical electricity utilization data of the customer, and compare the profit index parameter with a plurality of preset index parameters generated by simulation, so that the transaction combination with the maximum profit value can be screened, the effect of quantifying the transaction combination can be realized, the transaction combination with the maximum profit value can be screened, and the profit of the electricity selling company can be improved.
Description
Technical Field
The invention relates to the technical field of data processing of power selling companies, in particular to a method and a device for screening transaction combinations of the power selling companies.
Background
The development of economy at random, user's power consumption demand also progressively increases, and in order to satisfy user's power consumption demand, it is indispensable to increase the generated energy. Although the power consumption of the users is increased compared with the prior art, the power consumption of the users is different in different time periods, if the power consumption is increased in a low tide, resource waste is caused, and if the power consumption is insufficient in a peak period, the use of the users is influenced.
In order to meet the electricity demand of a user and reduce the operation cost of an electricity selling company, the electricity selling company plans a plurality of electricity selling transaction combinations before selling electricity, and then screens a plurality of transaction combinations meeting the demand from the plurality of electricity selling transaction combinations according to artificial experience and access investigation of the user.
However, the current screening methods have the following technical problems: the manual subjective judgment is easy to make mistakes, the manual errors are easy to occur, the screening accuracy is reduced, the power utilization time of a user is far away from the access investigation time of the user, the requirements of the user possibly change in the period, the screened transaction combination is not consistent with the actual requirements of the user, the screening accuracy is further reduced, the two judgment and screening modes are not consistent with the actual situation of the power selling enterprise, the actual benefits of the transaction combination and the power selling enterprise are easily reversed, and the operation components and the operation difficulty of the enterprise are increased.
Disclosure of Invention
The invention provides a method and a device for screening transaction combinations of an electricity selling company.
A first aspect of an embodiment of the present invention provides a method for screening trade combinations of an electricity selling company, where the method includes:
respectively acquiring historical electricity consumption data corresponding to previous electricity consumption transaction combinations of a plurality of clients, and decomposing and adding the historical electricity consumption data to obtain electricity consumption data;
calculating profit and loss index parameters corresponding to the prior electric quantity transaction combination by adopting the electric quantity use data;
respectively comparing the profit and loss index parameters with a plurality of preset index parameters in a preset index set to obtain comparison results, wherein the preset index set is obtained by performing simulation calculation on a plurality of simulated electric quantity transaction combinations;
and screening to obtain a target electric quantity transaction combination based on the comparison result.
In one possible implementation manner of the first aspect, the power usage data includes: decomposing an electric quantity value and a total position holding electric quantity value, wherein the profit-loss index parameters comprise contract profit-loss parameters and enterprise profit-loss parameters;
the method for calculating profit-loss index parameters corresponding to the prior electric quantity transaction combination by adopting the electric quantity usage data comprises the following steps:
substituting the decomposition electric quantity value and the total position holding electric quantity value into a preset enterprise calculation formula to calculate to obtain enterprise profit and loss parameters;
and substituting the total position holding electric quantity value into a preset contract calculation formula to calculate to obtain contract profit and loss parameters.
In a possible implementation manner of the first aspect, the screening the target electricity quantity transaction combination based on the comparison result includes:
screening and screening a plurality of electric quantity trading combinations exceeding a preset contract profit value from the plurality of contract profit parameters, and respectively obtaining contract profit and loss parameters corresponding to each electric quantity trading combination exceeding the preset contract profit value to obtain a plurality of screened contract profit and loss parameters;
and screening the contract profit and loss parameters with the maximum values from the plurality of screened contract profit and loss parameters, and taking the electric quantity transaction combination corresponding to the contract profit and loss parameters with the maximum values as a target electric quantity transaction combination.
In a possible implementation manner of the first aspect, the simulation calculation is specifically:
respectively acquiring analog electric quantity data corresponding to each analog electric quantity combination to obtain a plurality of analog electric quantity data;
calculating corresponding simulation index parameters by respectively adopting each simulation electric quantity data to obtain a plurality of simulation index parameters, wherein each simulation index parameter corresponds to a simulation electric quantity combination;
and producing a preset index set by the plurality of simulation index parameter sets.
In a possible implementation manner of the first aspect, the historical electricity consumption data includes: time-sharing electric quantity data, month-sharing electric quantity data and annual electric quantity data;
decomposing and adding the historical electricity consumption data to obtain electricity consumption data, wherein the electricity consumption data comprises:
decomposing the monthly electric quantity data and the annual electric quantity data by taking hours as units to obtain decomposed data, and counting the decomposed data and the time-sharing electric quantity data to obtain decomposed electric quantity values;
and accumulating a plurality of time-sharing electric quantity data to obtain a total position holding electric quantity value.
A second aspect of an embodiment of the present invention provides an apparatus for screening transaction combinations of electric power selling companies, the apparatus including:
the acquisition module is used for respectively acquiring historical electricity consumption data corresponding to previous electricity transaction combinations of a plurality of clients and decomposing and adding the historical electricity consumption data to obtain electricity consumption data;
the calculation module is used for calculating profit and loss index parameters corresponding to the prior electric quantity transaction combination by adopting the electric quantity use data;
the comparison module is used for comparing the profit and loss index parameters with a plurality of preset index parameters in a preset index set respectively to obtain a comparison result, wherein the preset index set is obtained by performing simulation calculation on a plurality of simulation electric quantity transaction combinations;
and the screening module is used for screening the target electric quantity transaction combination based on the comparison result.
In one possible implementation manner of the second aspect, the electricity usage data includes: decomposing an electric quantity value and a total position holding electric quantity value, wherein the profit-loss index parameters comprise contract profit-loss parameters and enterprise profit-loss parameters;
the calculation module is further to:
substituting the decomposition electric quantity value and the total position holding electric quantity value into a preset enterprise calculation formula to calculate to obtain enterprise profit and loss parameters;
and substituting the total position holding electric quantity value into a preset contract calculation formula to calculate to obtain contract profit and loss parameters.
In a possible implementation manner of the second aspect, the screening module is further configured to:
screening and screening a plurality of electric quantity trading combinations exceeding a preset contract profit value from the plurality of contract profit parameters, and respectively obtaining contract profit and loss parameters corresponding to each electric quantity trading combination exceeding the preset contract profit value to obtain a plurality of screened contract profit and loss parameters;
and screening the contract profit and loss parameters with the maximum values from the plurality of screened contract profit and loss parameters, and taking the electric quantity transaction combination corresponding to the contract profit and loss parameters with the maximum values as a target electric quantity transaction combination.
In a possible implementation manner of the second aspect, the simulation calculation is specifically:
respectively acquiring analog electric quantity data corresponding to each analog electric quantity combination to obtain a plurality of analog electric quantity data;
calculating corresponding simulation index parameters by respectively adopting each simulation electric quantity data to obtain a plurality of simulation index parameters, wherein each simulation index parameter corresponds to a simulation electric quantity combination;
and producing a preset index set by the plurality of simulation index parameter sets.
In one possible implementation manner of the second aspect, the historical electricity consumption data includes: time-sharing electric quantity data, month-sharing electric quantity data and annual electric quantity data;
the acquisition module is further configured to:
decomposing the monthly electric quantity data and the annual electric quantity data by taking hours as units to obtain decomposed data, and counting the decomposed data and the time-sharing electric quantity data to obtain decomposed electric quantity values;
and accumulating a plurality of time-sharing electric quantity data to obtain a total position holding electric quantity value.
Compared with the prior art, the screening method and the screening device for the trade combination of the electricity selling company have the advantages that: the method and the system can calculate the corresponding profit index parameter based on the historical electricity utilization data of the customer, and compare the profit index parameter with a plurality of preset index parameters generated by simulation, so that the transaction combination with the maximum profit value can be screened, the effect of quantifying the transaction combination can be realized, the transaction combination with the maximum profit value can be screened, and the profit of the electricity selling company can be improved.
Drawings
Fig. 1 is a schematic flow chart of a method for screening trade combinations of an electric power selling company according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a screening apparatus for a trade combination of an electric power selling company according to an embodiment of the present invention.
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.
The current commonly used screening mode has the following technical problems: the manual subjective judgment is easy to make mistakes, the manual errors are easy to occur, the screening accuracy is reduced, the power utilization time of a user is far away from the access investigation time of the user, the requirements of the user possibly change in the period, the screened transaction combination is not consistent with the actual requirements of the user, the screening accuracy is further reduced, the two judgment and screening modes are not consistent with the actual situation of the power selling enterprise, the actual benefits of the transaction combination and the power selling enterprise are easily reversed, and the operation components and the operation difficulty of the enterprise are increased.
In order to solve the above problems, a method for screening trade combination of an electric power selling company provided by the embodiments of the present application will be described and explained in detail by the following specific embodiments.
Referring to fig. 1, a flow chart of a method for screening trade combination of an electric power selling company according to an embodiment of the present invention is shown.
The screening method of the transaction combination of the power selling company can be applied to a background server of an enterprise to screen the transaction combination in the background server.
By way of example, the screening method for the trade combination of the power selling company may include:
and S11, respectively acquiring historical electricity consumption data corresponding to previous electricity consumption transaction combinations of a plurality of clients, and decomposing and adding the historical electricity consumption data to obtain electricity consumption data.
Specifically, the electricity selling company may sign different electricity trading contracts with different customers, the different contracts have different prices and different electricity selling amounts, and the electricity of the electricity trading contracts signed by the different customers in the previous year can be acquired, so as to obtain historical electricity consumption data of the customers.
In order to be close to the actual use condition of the customer, historical electricity consumption data of the customer can be recorded through an electricity meter of the customer.
Since the historical electricity consumption data of the customers are various, the various historical electricity consumption data need to be decomposed and added to form electricity consumption data capable of reflecting actual use requirements or actual use conditions of the customers.
Alternatively, the decomposition operation may be decomposition in units of charge for electricity. The addition operation may be a superposition or accumulation operation of data.
In one embodiment, the historical electricity usage data includes: time-sharing electric quantity data, month-sharing electric quantity data and annual electric quantity data.
The time-sharing electricity data is the electricity consumption of the customer for one hour, for example, the electricity consumption at 6 o' clock of 8 months x days in 20xx year is 4 degrees. The monthly electricity data is the electricity consumption of the customer for one month, for example, the electricity consumption in 4 months in 20xx years is 60 degrees. The annual power consumption data is the power consumption of the customer for one year, for example, the power consumption in 20xx years is 3000 degrees.
To facilitate the calculation of the electricity usage of the customer, in an alternative embodiment, step S11 may include the following sub-steps:
and S111, decomposing the monthly electric quantity data and the annual electric quantity data by taking hours as units to obtain decomposed data, and counting the decomposed data and the time-sharing electric quantity data to obtain a decomposed electric quantity value.
Specifically, the monthly electric quantity data may be divided into daily electric quantity data, and then the daily electric quantity data may be decomposed into electric quantity data corresponding to hours according to the hours, so as to obtain decomposed data. Similarly, the annual power consumption data can be decomposed into monthly power consumption data according to months, then the monthly power consumption data is divided into power consumption data with hours as units according to the above mode, and finally the decomposed data and the time-sharing power consumption data are collected according to time sequence statistics to obtain the decomposed power consumption value corresponding to each hour.
For the convenience of the user to check, the decomposition electric quantity value can be drawn into an electric quantity curve in the unit of hours according to the time sequence.
In an embodiment, since there are a plurality of customers needing to be calculated, the power curves of the plurality of customers in hours may be summed up to form a continuous hour power curve of the total customer, and a value corresponding to the continuous hour power curve is used as a decomposition power value.
And S112, accumulating the time-sharing electric quantity data to obtain a total position holding electric quantity value.
Specifically, the time-sharing electricity quantity data of each client may be summed up and summed up, and then a total taken-position electricity quantity curve is formed after the summation and summation, and an electricity quantity value corresponding to the total taken-position electricity quantity curve is taken as a total taken-position electricity quantity value.
And S12, calculating profit and loss index parameters corresponding to the prior electric quantity transaction combination by using the electric quantity use data.
According to the electricity usage data of the customer, various profit and loss data formed by combining the previously signed transactions signed by the customer can be calculated to obtain profit and loss index parameters.
The profit-loss index parameter can be used for reflecting the profit condition of the electric quantity transaction combination signed by the electricity selling company and the customer. Optionally, the profit-loss index parameters may include profit amount, loss amount, unit price, cost, return rate, and the like.
By calculating the profit and loss index parameters, the electric quantity transaction combination can be quantized, and the user can conveniently carry out combination screening and decision making.
In one embodiment, the electricity usage data includes: and decomposing the electric quantity value and the total position holding electric quantity value, wherein the profit and loss index parameters comprise contract profit and loss parameters and enterprise profit and loss parameters.
In an alternative embodiment, step S12 may include the following sub-steps:
and a substep S121 of substituting the decomposition electric quantity value and the total position holding electric quantity value into a preset enterprise calculation formula to calculate to obtain an enterprise profit and loss parameter.
In an alternative embodiment, the business profit-loss parameter is the business profit-loss sum for each hour.
The enterprise profit and loss of each hour is retail income-wholesale expense is decomposition electric quantity value (business constant + P retail), and long term total position holding electric quantity value (decomposition electric quantity value-total position holding electric quantity value) P days ahead.
In the above equation, the business constant is a constant value of the company computing business, and can be specifically adjusted according to actual needs, for example, 463, 128, or 1. P retail is the retail average price of electric quantity, and particularly, the retail average price of the last several months can be referred to. The medium-and-long term of — P is a medium-and-long term average price per hour, specifically, a medium-and-long term average price ∑ (medium-and-long term electric quantity)/∑ medium-and-long term electric quantity. The spot time-sharing price before the P day is specifically the actual spot time-sharing price before the historical spot date can be averaged according to the typical day to obtain the spot time-sharing price of each typical day.
And a substep S122 of substituting the total position holding electric quantity value into a preset contract calculation formula to calculate to obtain contract profit and loss parameters.
In an alternative embodiment, the contract profit-loss parameter is the sum of a plurality of single-hour contract profits-losses.
Wherein, the contract profit and loss of a single hour (P day before-P medium and long term) is the total position holding electric quantity value.
And S13, comparing the profit and loss index parameters with a plurality of preset index parameters in a preset index set respectively to obtain a comparison result, wherein the preset index set is obtained by performing simulation calculation on a plurality of simulated electric quantity transaction combinations.
It should be noted that the comparison result may be a comparison result of the magnitude of the profit-loss index parameter and the magnitude of each preset index parameter.
The currently calculated profit-loss index parameter is a transaction combination which is signed by a customer in advance, and in an electricity selling company, the profit-loss index parameter is calculated based on the electricity consumption of the customer after the customer runs out of electricity. Therefore, before the customer is in contract with the power selling company, the customer reports the power consumption of the next year with the power selling company, wherein the power consumption of the next year is the estimated power consumption of the customer.
In order to meet the power demand of a user, an electricity selling company needs to purchase electricity based on the electricity consumption of a customer in the next year, if the electricity consumption of the customer in the next year is reduced, the loss of the electricity selling company is increased because redundant electricity is not used, and in order to reduce the loss and improve the profit and income of the company in the next year, a plurality of preset index parameters generated in a simulation mode can be introduced. The preset index parameter may be a profit-loss index parameter generated based on a simulation of the next year electricity usage reported by a plurality of customers.
In order to make the preset index parameter conform to the actual usage condition and to make the preset index parameter match with the profit-loss index parameter, in an embodiment, the step of the simulation calculation specifically includes:
and S31, respectively acquiring the analog electric quantity data corresponding to each analog electric quantity combination to obtain a plurality of analog electric quantity data.
The simulated electricity combination may be generated based on the electricity consumption of the next year reported by one or more customers, for example, if there are 10 customers and each customer reports three electricity consumptions of the next year, the electricity consumptions of the next year reported by the 10 customers are respectively 8 ten thousand degrees of electricity, 10 ten thousand degrees of electricity and 12 ten thousand degrees of electricity, and different electricity selling transaction combinations may be simulated by using 8 ten thousand degrees of electricity, 10 ten thousand degrees of electricity and 12 ten thousand degrees of electricity. The simulated electricity quantity combination can also be a plurality of predicted next-year electricity consumptions, and different electricity selling transaction combinations are simulated by utilizing the plurality of next-year electricity consumptions.
And then, corresponding time-sharing electricity utilization data, month-sharing electricity utilization data and year electricity utilization data are respectively extracted from each transaction combination.
And S32, calculating corresponding simulation index parameters by respectively adopting each simulation electric quantity data to obtain a plurality of simulation index parameters, wherein each simulation index parameter corresponds to a simulation electric quantity combination.
Specifically, the calculation method may be the same as that of substeps S121 and substep S122.
And S33, producing a preset index set by the plurality of simulation index parameter sets.
And finally, generating a preset index set from the plurality of simulation index parameter sets.
The comparison of multiple indexes can be conveniently carried out by utilizing the preset index set.
And S14, screening to obtain a target electricity transaction combination based on the comparison result.
The screening rules can be adjusted according to actual requirements, and therefore the target electricity quantity transaction combination can be determined according to the comparison result.
For example, the electric quantity transaction combination with the maximum enterprise profit index value may be screened as a target electric quantity transaction combination, and the electric quantity transaction combination with the maximum contract profit index value may be screened as a target electric quantity transaction combination.
In order to increase the profitability of the enterprise while meeting the actual power consumption of the user, in one embodiment, step S14 may include the following sub-steps:
and a substep S141 of screening and screening a plurality of electric quantity trading combinations exceeding the preset contract profit value from the plurality of contract profit parameters, and respectively obtaining contract profit and loss parameters corresponding to each electric quantity trading combination exceeding the preset contract profit value to obtain a plurality of screened contract profit and loss parameters.
And a substep S142, selecting the contract profit and loss parameters with the maximum value from the plurality of selected contract profit and loss parameters, and taking the electric quantity transaction combination corresponding to the contract profit and loss parameters with the maximum value as a target electric quantity transaction combination.
By comparing the contract profit parameter with the preset contract profit value, the transaction combination higher than the preset contract profit value can be screened, and the profit generated by signing the contract by adopting the transaction combination can meet the minimum requirement of the enterprise. And then, the transaction combination with the maximum value of the profit parameter of the enterprise is screened from the transaction combinations of the conventional preset contract profits so as to improve the transaction profits of the enterprise and realize the profit maximization.
It should be noted that the pre-set contract profit value may be adjusted according to actual requirements.
In this embodiment, the embodiment of the present invention provides a method for screening transaction combinations of an electricity selling company, which has the following beneficial effects: the method and the system can calculate the corresponding profit index parameter based on the historical electricity utilization data of the customer, and compare the profit index parameter with a plurality of preset index parameters generated by simulation, so that the transaction combination with the maximum profit value can be screened, the effect of quantifying the transaction combination can be realized, the transaction combination with the maximum profit value can be screened, and the profit of the electricity selling company can be improved.
The embodiment of the present invention further provides a screening device for trade combination of an electricity selling company, and referring to fig. 2, a schematic structural diagram of the screening device for trade combination of an electricity selling company provided by the embodiment of the present invention is shown.
Wherein, as an example, the screening device for the trade combination of the power selling company may include:
the acquisition module 201 is configured to acquire historical electricity consumption data corresponding to previous electricity transaction combinations of multiple customers, and decompose and add the historical electricity consumption data to obtain electricity consumption data;
the calculation module 202 is configured to calculate, by using the electric quantity usage data, profit and loss index parameters corresponding to a previous electric quantity transaction combination;
the comparison module 203 is configured to compare the profit-loss index parameter with a plurality of preset index parameters in a preset index set to obtain a comparison result, where the preset index set is obtained by performing simulation calculation on a plurality of simulated electric quantity transaction combinations;
and the screening module 204 is configured to screen a target electricity quantity transaction combination based on the comparison result.
Optionally, the electricity usage data includes: decomposing an electric quantity value and a total position holding electric quantity value, wherein the profit-loss index parameters comprise contract profit-loss parameters and enterprise profit-loss parameters;
the calculation module is further to:
substituting the decomposition electric quantity value and the total position holding electric quantity value into a preset enterprise calculation formula to calculate to obtain enterprise profit and loss parameters;
and substituting the total position holding electric quantity value into a preset contract calculation formula to calculate to obtain contract profit and loss parameters.
Optionally, the screening module is further configured to:
screening and screening a plurality of electric quantity trading combinations exceeding a preset contract profit value from the plurality of contract profit parameters, and respectively obtaining contract profit and loss parameters corresponding to each electric quantity trading combination exceeding the preset contract profit value to obtain a plurality of screened contract profit and loss parameters;
and screening the contract profit and loss parameters with the maximum values from the plurality of screened contract profit and loss parameters, and taking the electric quantity transaction combination corresponding to the contract profit and loss parameters with the maximum values as a target electric quantity transaction combination.
Optionally, the simulation calculation specifically includes:
respectively acquiring analog electric quantity data corresponding to each analog electric quantity combination to obtain a plurality of analog electric quantity data;
calculating corresponding simulation index parameters by respectively adopting each simulation electric quantity data to obtain a plurality of simulation index parameters, wherein each simulation index parameter corresponds to a simulation electric quantity combination;
and producing a preset index set by the plurality of simulation index parameter sets.
Optionally, the historical electricity consumption data includes: time-sharing electric quantity data, month-sharing electric quantity data and annual electric quantity data;
the acquisition module is further configured to:
decomposing the monthly electric quantity data and the annual electric quantity data by taking hours as units to obtain decomposed data, and counting the decomposed data and the time-sharing electric quantity data to obtain decomposed electric quantity values;
and accumulating a plurality of time-sharing electric quantity data to obtain a total position holding electric quantity value.
Further, an embodiment of the present application further provides an electronic device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor when executing the program implementing the screening method for the trade combination of the power selling company as described in the above embodiments.
Further, the present application provides a computer-readable storage medium storing computer-executable instructions for causing a computer to execute the method for screening trade combination of electricity selling companies according to the above embodiment.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A method of screening for combinations of electricity selling company transactions, the method comprising:
respectively acquiring historical electricity consumption data corresponding to previous electricity consumption transaction combinations of a plurality of clients, and decomposing and adding the historical electricity consumption data to obtain electricity consumption data;
calculating profit and loss index parameters corresponding to the prior electric quantity transaction combination by adopting the electric quantity use data;
respectively comparing the profit and loss index parameters with a plurality of preset index parameters in a preset index set to obtain comparison results, wherein the preset index set is obtained by performing simulation calculation on a plurality of simulated electric quantity transaction combinations;
and screening to obtain a target electric quantity transaction combination based on the comparison result.
2. The method for screening combinations of electricity selling company transactions according to claim 1, wherein said electricity usage data includes: decomposing an electric quantity value and a total position holding electric quantity value, wherein the profit-loss index parameters comprise contract profit-loss parameters and enterprise profit-loss parameters;
the method for calculating profit-loss index parameters corresponding to the prior electric quantity transaction combination by adopting the electric quantity usage data comprises the following steps:
substituting the decomposition electric quantity value and the total position holding electric quantity value into a preset enterprise calculation formula to calculate to obtain enterprise profit and loss parameters;
and substituting the total position holding electric quantity value into a preset contract calculation formula to calculate to obtain contract profit and loss parameters.
3. The method for screening transaction combinations of electricity vendors according to claim 2, wherein the screening of the transaction combinations of target electricity quantities based on the comparison result comprises:
screening and screening a plurality of electric quantity trading combinations exceeding a preset contract profit value from the plurality of contract profit parameters, and respectively obtaining contract profit and loss parameters corresponding to each electric quantity trading combination exceeding the preset contract profit value to obtain a plurality of screened contract profit and loss parameters;
and screening the contract profit and loss parameters with the maximum values from the plurality of screened contract profit and loss parameters, and taking the electric quantity transaction combination corresponding to the contract profit and loss parameters with the maximum values as a target electric quantity transaction combination.
4. The method for screening combinations of electric utility company transactions according to claim 2, wherein the simulation calculation is specifically:
respectively acquiring analog electric quantity data corresponding to each analog electric quantity combination to obtain a plurality of analog electric quantity data;
calculating corresponding simulation index parameters by respectively adopting each simulation electric quantity data to obtain a plurality of simulation index parameters, wherein each simulation index parameter corresponds to a simulation electric quantity combination;
and producing a preset index set by the plurality of simulation index parameter sets.
5. The method of claim 2, wherein the historical electricity consumption data comprises: time-sharing electric quantity data, month-sharing electric quantity data and annual electric quantity data;
decomposing and adding the historical electricity consumption data to obtain electricity consumption data, wherein the electricity consumption data comprises:
decomposing the monthly electric quantity data and the annual electric quantity data by taking hours as units to obtain decomposed data, and counting the decomposed data and the time-sharing electric quantity data to obtain decomposed electric quantity values;
and accumulating a plurality of time-sharing electric quantity data to obtain a total position holding electric quantity value.
6. A screening apparatus for combinations of electricity selling company transactions, the apparatus comprising:
the acquisition module is used for respectively acquiring historical electricity consumption data corresponding to previous electricity transaction combinations of a plurality of clients and decomposing and adding the historical electricity consumption data to obtain electricity consumption data;
the calculation module is used for calculating profit and loss index parameters corresponding to the prior electric quantity transaction combination by adopting the electric quantity use data;
the comparison module is used for comparing the profit and loss index parameters with a plurality of preset index parameters in a preset index set respectively to obtain a comparison result, wherein the preset index set is obtained by performing simulation calculation on a plurality of simulation electric quantity transaction combinations;
and the screening module is used for screening the target electric quantity transaction combination based on the comparison result.
7. The screening apparatus for combinations of electricity selling company transactions according to claim 6, wherein said electricity usage data includes: decomposing an electric quantity value and a total position holding electric quantity value, wherein the profit-loss index parameters comprise contract profit-loss parameters and enterprise profit-loss parameters;
the calculation module is further to:
substituting the decomposition electric quantity value and the total position holding electric quantity value into a preset enterprise calculation formula to calculate to obtain enterprise profit and loss parameters;
and substituting the total position holding electric quantity value into a preset contract calculation formula to calculate to obtain contract profit and loss parameters.
8. The screening apparatus for combinations of electricity selling company transactions according to claim 7, wherein said screening module is further configured to:
screening and screening a plurality of electric quantity trading combinations exceeding a preset contract profit value from the plurality of contract profit parameters, and respectively obtaining contract profit and loss parameters corresponding to each electric quantity trading combination exceeding the preset contract profit value to obtain a plurality of screened contract profit and loss parameters;
and screening the contract profit and loss parameters with the maximum values from the plurality of screened contract profit and loss parameters, and taking the electric quantity transaction combination corresponding to the contract profit and loss parameters with the maximum values as a target electric quantity transaction combination.
9. The screening apparatus for combinations of electric utility company transactions according to claim 7, wherein the simulation calculation is specifically:
respectively acquiring analog electric quantity data corresponding to each analog electric quantity combination to obtain a plurality of analog electric quantity data;
calculating corresponding simulation index parameters by respectively adopting each simulation electric quantity data to obtain a plurality of simulation index parameters, wherein each simulation index parameter corresponds to a simulation electric quantity combination;
and producing a preset index set by the plurality of simulation index parameter sets.
10. The screening apparatus for combinations of electricity selling company transactions according to claim 7, wherein said historical electricity consumption data includes: time-sharing electric quantity data, month-sharing electric quantity data and annual electric quantity data;
the acquisition module is further configured to:
decomposing the monthly electric quantity data and the annual electric quantity data by taking hours as units to obtain decomposed data, and counting the decomposed data and the time-sharing electric quantity data to obtain decomposed electric quantity values;
and accumulating a plurality of time-sharing electric quantity data to obtain a total position holding electric quantity value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110926334.1A CN113743743A (en) | 2021-08-12 | 2021-08-12 | Method and device for screening transaction combinations of electricity selling companies |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110926334.1A CN113743743A (en) | 2021-08-12 | 2021-08-12 | Method and device for screening transaction combinations of electricity selling companies |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113743743A true CN113743743A (en) | 2021-12-03 |
Family
ID=78730907
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110926334.1A Pending CN113743743A (en) | 2021-08-12 | 2021-08-12 | Method and device for screening transaction combinations of electricity selling companies |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113743743A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107845022A (en) * | 2017-11-02 | 2018-03-27 | 北京恒泰能联科技发展有限公司 | Electricity market aid decision-making systems |
| CN108429260A (en) * | 2018-04-04 | 2018-08-21 | 北京科东电力控制系统有限责任公司 | Sale of electricity company Multiple Time Scales transaction electricity decision-making technique and system |
| CN111062747A (en) * | 2019-12-10 | 2020-04-24 | 大连理工大学 | Electric power transaction retail package management system and method with user-defined income mode |
-
2021
- 2021-08-12 CN CN202110926334.1A patent/CN113743743A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107845022A (en) * | 2017-11-02 | 2018-03-27 | 北京恒泰能联科技发展有限公司 | Electricity market aid decision-making systems |
| CN108429260A (en) * | 2018-04-04 | 2018-08-21 | 北京科东电力控制系统有限责任公司 | Sale of electricity company Multiple Time Scales transaction electricity decision-making technique and system |
| CN111062747A (en) * | 2019-12-10 | 2020-04-24 | 大连理工大学 | Electric power transaction retail package management system and method with user-defined income mode |
Non-Patent Citations (1)
| Title |
|---|
| 喻小宝;谭忠富;屈高强;: "基于电力客户评估的差异化电价套餐研究", 中国电力, vol. 53, no. 02, 29 February 2020 (2020-02-29), pages 9 - 19 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| d'Alessandro et al. | Fiscal stimulus with learning‐by‐doing | |
| Michaillat | A theory of countercyclical government multiplier | |
| de Marcos et al. | Electricity price forecasting in the short term hybridising fundamental and econometric modelling | |
| Fan et al. | Multifractality and market efficiency of carbon emission trading market: Analysis using the multifractal detrended fluctuation technique | |
| Füss et al. | Electricity derivatives pricing with forward-looking information | |
| US20130024396A1 (en) | Systems and Methods for Determining Cost of Capital for an Entity in a Bottom-Up, Fully Risk-Based Manner | |
| Young et al. | Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market | |
| Janiszewski | How to perform discounted cash flow valuation? | |
| Bobinaite | Financial sustainability of wind electricity sectors in the Baltic States | |
| US8694413B1 (en) | Computer-based systems and methods for determining interest levels of consumers in research work product produced by a research department | |
| CN110555758A (en) | Enterprise finance and tax intelligent management system | |
| Stetter et al. | Competitive and risk-adequate auction bids for onshore wind projects in Germany | |
| Johnston et al. | Impact of inefficient quota allocation under the Canada-US softwood lumber dispute: A calibrated mixed complementarity approach | |
| US8498921B2 (en) | System and method for charging trading commissions for brokerage accounts based on principal of trades | |
| Lingohr et al. | Conditionally independent increment processes for modeling electricity prices with regard to renewable power generation | |
| CN113743743A (en) | Method and device for screening transaction combinations of electricity selling companies | |
| CN114971696A (en) | Quotation method based on electricity consumption and flow information uploading system | |
| CN114331742A (en) | Payment reference acquisition method, data uploading method, device, equipment and medium | |
| WO2021207780A1 (en) | Systems, computer-implemented methods and computer programs for capital management | |
| Chen et al. | Using a stochastic economic scenario generator to analyse uncertain superannuation and retirement outcomes | |
| Hedvicakova et al. | Probabilistic model of optimal price search on the retail core banking services market | |
| Tarasova et al. | Development of Key Indicators for Power Supply Companies | |
| Ernstsen et al. | Hedging local volume risk using forward markets: Nordic case | |
| CN115545859A (en) | Financial analysis method and system for new energy power generation project | |
| Phansawadhi | Equity valuation approach based on accounting variables |
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 |