CN118115220A - Recommendation method and device for declaration price, electronic equipment and storage medium - Google Patents

Recommendation method and device for declaration price, electronic equipment and storage medium Download PDF

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CN118115220A
CN118115220A CN202410349959.XA CN202410349959A CN118115220A CN 118115220 A CN118115220 A CN 118115220A CN 202410349959 A CN202410349959 A CN 202410349959A CN 118115220 A CN118115220 A CN 118115220A
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period
declaration
current
state vector
reporting period
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邢连中
刘思广
余从极
钟嶒楒
程相杰
范佳卿
张强
匡也
满翊
武霖
孙猛
潘知立
方超
叶晶
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Spic Jiangsu Electric Power Co ltd
Shanghai Power Equipment Research Institute Co Ltd
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Spic Jiangsu Electric Power Co ltd
Shanghai Power Equipment Research Institute Co Ltd
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Priority to CN202410349959.XA priority Critical patent/CN118115220A/en
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    • G06Q50/06—Energy or water supply

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Abstract

The application discloses a recommendation method, a device, electronic equipment and a storage medium for declaration price; the method comprises the following steps: receiving a bid declaration request sent by a user in a current declaration period; responding to the bid declaration request, and acquiring a state vector corresponding to the current declaration period and a state vector corresponding to each historical declaration period; determining a historical reporting period similar to the current reporting period according to the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period; a recommended value of a declaration price for a current declaration period is calculated based on a demand response of a historic declaration period similar to the current declaration period. The embodiment of the application can give the recommended value of the declared price in an opaque bidding environment, thereby improving the data fitting effect and the estimation accuracy.

Description

Recommendation method and device for declaration price, electronic equipment and storage medium
Technical Field
The embodiment of the application relates to the technical field of electric power, in particular to a recommendation method and device for declaration price, electronic equipment and a storage medium.
Background
At the moment of the high-speed increase of electricity demand, the construction of a novel power system mainly comprising new energy is the primary task of the development of the electric energy industry in China. With the access of a large amount of intermittent and fluctuating distributed energy sources, the problem of power supply and demand balance in the peak period brings greater challenges to the safe and stable operation of the power system.
In order to prevent malignant competition in the market, data such as specific bargain price, participation subject information, total demand and the like are not published in the demand response declaration stage, so that the demand response declaration is always opaque to the agent. The existing demand response technology is to regulate and control a demand end electricity consumption curve by an economic means, and the problem of power shortage in a peak period is relieved through autonomous transfer of user side resources. The auxiliary bidding method based on the public market game theory can not solve the actual demand. The agent can only give the declaration price by experience and self operation and adjustment cost, so that great uncertainty exists.
Disclosure of Invention
The application provides a recommendation method, a device, electronic equipment and a storage medium for declaration price, which can give out recommendation values of declaration price in an opaque bidding environment, so that data fitting effect and estimation accuracy can be improved.
In a first aspect, an embodiment of the present application provides a recommendation method for declaring a price, where the method includes:
Receiving a bid declaration request sent by a user in a current declaration period;
Responding to the bid declaration request, and acquiring a state vector corresponding to the current declaration period and a state vector corresponding to each historical declaration period;
Determining a historical reporting period similar to the current reporting period according to the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period;
and calculating a recommended value of the declaration price of the current declaration period based on the demand response of the historical declaration period similar to the current declaration period.
In a second aspect, an embodiment of the present application further provides a recommendation device for declaring a price, where the device includes: the device comprises a receiving module, an acquisition module, a determination module and a calculation module; wherein,
The receiving module is used for receiving a bid declaration request sent by a user in the current declaration period;
The acquisition module is used for responding to the bid declaration request and acquiring a state vector corresponding to the current declaration period and a state vector corresponding to each historical declaration period;
the determining module is used for determining a historical reporting period similar to the current reporting period according to the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period;
The calculation module is used for calculating the recommended value of the declaration price of the current declaration period based on the demand response of the historical declaration period similar to the current declaration period.
In a third aspect, an embodiment of the present application provides an electronic device, including:
One or more processors;
A memory for storing one or more programs,
When the one or more programs are executed by the one or more processors, the one or more processors implement the method for recommending declared prices according to any embodiment of the present application.
In a fourth aspect, an embodiment of the present application provides a storage medium having stored thereon a computer program that, when executed by a processor, implements the method for recommending claim prices according to any embodiment of the present application.
The embodiment of the application provides a recommendation method, a device, electronic equipment and a storage medium for reporting prices, which are used for receiving bid reporting requests sent by a user in a current reporting period; then, responding to the bid declaration request, and acquiring a state vector corresponding to the current declaration period and a state vector corresponding to each historical declaration period; determining a historical reporting period similar to the current reporting period according to the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period; and finally, calculating the recommended value of the declaration price of the current declaration period based on the demand response of the historical declaration period similar to the current declaration period. That is, in the present application, the recommended value of the declaration price of the current declaration period may be calculated based on the demand response of the history declaration period similar to the current declaration period. In the prior art, the agent can only give the declaration price by experience and self operation and adjustment cost, so that great uncertainty exists. Therefore, compared with the prior art, the recommendation method, the device, the electronic equipment and the storage medium for the declaration price provided by the embodiment of the application can provide the recommendation value of the declaration price in an opaque bidding environment, so that the data fitting effect and the estimation accuracy can be improved; in addition, the technical scheme of the embodiment of the application is simple and convenient to realize, convenient to popularize and wider in application range.
Drawings
FIG. 1 is a flowchart of a method for recommending a declared price according to an embodiment of the present application;
FIG. 2 is a flowchart of a method for recommending a declared price according to another embodiment of the present application;
FIG. 3 is a flowchart illustrating a method for recommending a declared price according to still another embodiment of the present application;
FIG. 4 is a schematic diagram of a price reporting recommendation device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The application is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present application are shown in the drawings.
Fig. 1 is a flow chart of a method for recommending a declared price according to an embodiment of the present application, where the method may be performed by a declared price recommending device or an electronic device, which may be implemented in software and/or hardware, and the device or the electronic device may be integrated in any intelligent device with a network communication function. As shown in fig. 1, the recommendation method of the declared price may include the steps of:
S101, receiving a bid declaration request sent by a user in a current declaration period.
In this step, the electronic device may receive a bid declaration request sent by the user during the current declaration period. In the electric power system, bid declaration is a process in which a market subject, such as a power generation company, an electricity selling company, a large user, or the like, declares the price and the amount of electricity that the electric power trading center or the dispatching mechanism is willing to sell or purchase, based on factors such as its own production cost, expected income, and market supply and demand.
S102, responding to the bid declaration request, and acquiring a state vector corresponding to the current declaration period and a state vector corresponding to each historical declaration period.
In this step, the electronic device may acquire, in response to the bid-declaration request, a state vector corresponding to the current declaration period and a state vector corresponding to each of the historical declaration periods. The state vector corresponding to the current reporting period in the embodiment of the application is as follows: wherein/> An adjustable load for the current reporting period; /(I)The method comprises the steps of using electric load for a region in a current reporting period; /(I)Reporting advance of the current reporting period; /(I)Reporting ceiling price for the current reporting period; /(I)Weather for the current reporting period; the state vectors corresponding to each historical reporting period are as follows: /(I)Wherein/>An adjustable load for a kth reporting period; /(I)The electric load is used for the region in the kth reporting period; /(I)Reporting advance for the kth reporting period; /(I)Reporting ceiling price for the kth reporting period; /(I)Weather for the kth reporting period; k is a natural number of 1 or more. Specifically, the adjustable load refers to electric equipment or a load set capable of performing power adjustment according to the running state of the electric power system and a scheduling instruction. Regional power loads refer to the sum of the power drawn by all consumers of power to the power system at a given moment in a particular geographic region. The area may be a city, county, province, district, etc., and the area electricity load may include power consumed by all electricity consumers for various purposes such as industrial production, commercial operation, residential life, public service, and agriculture within the area. The declared lead refers to the time in advance of a supply and demand plan, a generation plan, load forecast data, or other relevant transaction information for a future period of time submitted to a power trading center or grid dispatching entity. Claim ceiling price refers to the highest price that the market subject sets for its own provided power or demand response services when participating in a marketized power transaction. The weather refers to the temperature of the reporting period, which may be the highest temperature, the lowest temperature, or the average temperature.
S103, determining a historical reporting period similar to the current reporting period according to the state vector corresponding to the current reporting period and the state vectors corresponding to the historical reporting periods.
In this step, the electronic device may determine a historic reporting period similar to the current reporting period based on the state vector corresponding to the current reporting period and the state vector corresponding to each historic reporting period. Specifically, the electronic device may calculate the distance between the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period; and then determining the historical reporting period similar to the current reporting period according to the distance between the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period.
S104, calculating a recommended value of the declaration price of the current declaration period based on the demand response of the historical declaration period similar to the current declaration period.
In this step, the electronic device may calculate a recommended value of the declaration price of the current declaration period based on the demand response of the historical declaration period similar to the current declaration period. Specifically, the electronic device may first obtain, in the demand response of the historical reporting period similar to the current reporting period, the reporting price and reporting ceiling price of the historical reporting period similar to the current reporting period; then, a recommended value of the declaration price of the current declaration period is calculated based on the declaration price and declaration ceiling price of the history declaration period similar to the current declaration period and the declaration ceiling price of the predetermined current declaration period.
The recommendation method of the declaration price provided by the embodiment of the application firstly receives a bid declaration request sent by a user in the current declaration period; then, responding to the bid declaration request, and acquiring a state vector corresponding to the current declaration period and a state vector corresponding to each historical declaration period; determining a historical reporting period similar to the current reporting period according to the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period; and finally, calculating the recommended value of the declaration price of the current declaration period based on the demand response of the historical declaration period similar to the current declaration period. That is, in the present application, the recommended value of the declaration price of the current declaration period may be calculated based on the demand response of the history declaration period similar to the current declaration period. In the prior art, the agent can only give the declaration price by experience and self operation and adjustment cost, so that great uncertainty exists. Therefore, compared with the prior art, the recommendation method of the declaration price provided by the embodiment of the application can give the recommendation value of the declaration price in an opaque bidding environment, so that the data fitting effect and the estimation accuracy can be improved; in addition, the technical scheme of the embodiment of the application is simple and convenient to realize, convenient to popularize and wider in application range.
Fig. 2 is a flowchart of a method for recommending a declared price according to another embodiment of the present application. Further optimization and expansion based on the above technical solution can be combined with the above various alternative embodiments.
As shown in fig. 2, the recommendation method of the declared price may include the steps of:
s201, acquiring original state vectors corresponding to each historical reporting period in a database.
In this step, the electronic device may obtain, in the database, an original state vector corresponding to each historic reporting period. The state vector corresponding to each historical reporting period in the embodiment of the application is as follows: wherein/> The original adjustable load of the kth declaration period; /(I)The electric load is used for the original area in the kth reporting period; /(I)The original declaration advance of the kth declaration period; /(I)Original declaration ceiling price for the kth declaration period; /(I)The original weather for the kth reporting period; k is a natural number of 1 or more.
S202, carrying out standardization processing on original state vectors corresponding to each historical reporting period to obtain standard state vectors corresponding to each historical reporting period.
In this step, the electronic device may perform normalization processing on the original state vector corresponding to each historical reporting period, to obtain a standard state vector corresponding to each historical reporting period. In the data preprocessing, the primary purpose of normalizing the original state vector is to eliminate the dimensional influence among the features, so that the features of different scales have comparability, and the training effect of the machine learning algorithm can be optimized. Specifically, the electronic device may employ one of the following methods: 1) Min-max normalization: also known as dispersion normalization, scale the raw data to fall between [0,1 ]; 2) Z-score normalization: the standard deviation standardization is also called as standard normal distribution form which converts the original data into a standard normal distribution form with the mean value of 0 and the standard deviation of 1. 3) Decimal scaling normalization: normalization is performed by shifting decimal places of the data.
S203, storing the state vector of the standard corresponding to each historical reporting period as the state vector corresponding to each historical reporting period into a database.
In this step, the electronic device may store the state vector of the standard corresponding to each history reporting period as the state vector corresponding to each history reporting period in the database. In particular, the structure, size, and query and update requirements of the state vector need to be considered when storing the state vector into the database. The method of storing the state vector in the database may comprise the steps of: 1) Determining the data type: if the state vector is a fixed length bit pattern, it may be represented as a fixed length binary string or integer and a corresponding type of field may be created in the database. If the state vector is a high-dimensional vector, it is typically stored using a floating point array or serialized into JSON, XML, or the like format. 2) Selecting a database table structure: a table structure is created that contains the state vector and other related metadata. The relevant metadata here may be an ID, a time stamp, an entity identification to which the entity belongs, etc. 3) Design index: appropriate indexes are designed to accelerate retrieval according to query requirements. For numeric vectors, it may be desirable to construct an approximate nearest neighbor search index based on a particular algorithm, stored in or used with a database. 4) Serialization and deserialization: the serialization process is performed before the vector is written into the database, and the vector is converted from the memory object into a sustainable data format. The data are deserialized when read from the database and restored to a state vector form that the application can operate. 5) Batch insertion and optimization: if a large number of state vectors need to be stored, the performance can be obviously improved by adopting a batch insertion mode, and the network transmission overhead is reduced.
S204, receiving a bid declaration request sent by the user in the current declaration period.
S205, responding to the bid declaration request, and acquiring a state vector corresponding to the current declaration period and a state vector corresponding to each historical declaration period.
S206, calculating the distance between the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period.
In this step, the electronic device may calculate the distance between the state vector corresponding to the current reporting period and the state vector corresponding to each of the historic reporting periods. Specifically, the electronic device may extract each current element from the state vector corresponding to the current reporting period, and extract each history element from the state vector corresponding to each history reporting period; and then, inputting each current element and each historical element into a predetermined distance calculation model, and obtaining the distance between the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period through the distance calculation model. Further, the distance calculation model may be: wherein, An adjustable load for the current reporting period; /(I)The method comprises the steps of using electric load for a region in a current reporting period; /(I)Reporting advance of the current reporting period; /(I)Reporting ceiling price for the current reporting period; /(I)Weather for the current reporting period; /(I)An adjustable load for a kth reporting period; /(I)The electric load is used for the region in the kth reporting period; /(I)Reporting advance for the kth reporting period; Reporting ceiling price for the kth reporting period; /(I) Weather for the kth reporting period; k is a natural number of 1 or more.
S207, determining a historical reporting period similar to the current reporting period according to the distance between the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period.
In this step, the electronic device may determine a historic reporting period similar to the current reporting period according to the distance between the state vector corresponding to the current reporting period and the state vector corresponding to each historic reporting period. Specifically, the electronic apparatus may determine the history reporting period having the shortest distance as the history reporting period similar to the current reporting period.
S208, calculating a recommended value of the declaration price of the current declaration period based on the demand response of the historical declaration period similar to the current declaration period.
In this step, the electronic device may calculate a recommended value of the declaration price of the current declaration period based on the demand response of the historical declaration period similar to the current declaration period. Specifically, the electronic device may first obtain, in the demand response of the historical reporting period similar to the current reporting period, the reporting price and reporting ceiling price of the historical reporting period similar to the current reporting period; then, a recommended value of the declaration price of the current declaration period is calculated based on the declaration price and declaration ceiling price of the history declaration period similar to the current declaration period and the declaration ceiling price of the predetermined current declaration period.
The recommendation method of the declaration price provided by the embodiment of the application firstly receives a bid declaration request sent by a user in the current declaration period; then, responding to the bid declaration request, and acquiring a state vector corresponding to the current declaration period and a state vector corresponding to each historical declaration period; determining a historical reporting period similar to the current reporting period according to the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period; and finally, calculating the recommended value of the declaration price of the current declaration period based on the demand response of the historical declaration period similar to the current declaration period. That is, in the present application, the recommended value of the declaration price of the current declaration period may be calculated based on the demand response of the history declaration period similar to the current declaration period. In the prior art, the agent can only give the declaration price by experience and self operation and adjustment cost, so that great uncertainty exists. Therefore, compared with the prior art, the recommendation method of the declaration price provided by the embodiment of the application can give the recommendation value of the declaration price in an opaque bidding environment, so that the data fitting effect and the estimation accuracy can be improved; in addition, the technical scheme of the embodiment of the application is simple and convenient to realize, convenient to popularize and wider in application range.
Fig. 3 is a flowchart of a method for recommending a declared price according to still another embodiment of the present application. Further optimization and expansion based on the above technical solution can be combined with the above various alternative embodiments.
As shown in fig. 3, the recommendation method of the declared price may include the steps of:
S301, receiving a bid declaration request sent by a user in a current declaration period.
S302, responding to the bid declaration request, and acquiring a state vector corresponding to the current declaration period and a state vector corresponding to each historical declaration period.
S303, extracting each current element from the state vector corresponding to the current reporting period, and extracting each history element from the state vector corresponding to each history reporting period.
In this step, the electronic device may extract each current element from the state vector corresponding to the current reporting period, and extract each history element from the state vector corresponding to each history reporting period. Specifically, each current element extracted from the state vector corresponding to the current declaration period is: wherein/> An adjustable load for the current reporting period; /(I)The method comprises the steps of using electric load for a region in a current reporting period; /(I)Reporting advance of the current reporting period; /(I)Reporting ceiling price for the current reporting period; /(I)Is the weather of the current reporting period. Extracting each history element from the state vector corresponding to each history reporting period as follows: /(I)Wherein/>An adjustable load for a kth reporting period; /(I)The electric load is used for the region in the kth reporting period; /(I)Reporting advance for the kth reporting period; /(I)Reporting ceiling price for the kth reporting period; /(I)Weather for the kth reporting period; k is a natural number of 1 or more.
S304, inputting each current element and each historical element into a predetermined distance calculation model, and obtaining the distance between the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period through the distance calculation model.
In this step, the electronic device may input each current element and each history element into a predetermined distance calculation model, and obtain, through the distance calculation model, a distance between a state vector corresponding to the current reporting period and a state vector corresponding to each history reporting period. Specifically, the distance calculation model may be:
S305, determining a historical reporting period similar to the current reporting period according to the distance between the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period.
S306, acquiring a declaration price and a declaration ceiling price of a historical declaration period similar to the current declaration period in a demand response of the historical declaration period similar to the current declaration period.
S307, calculating the recommended value of the declaration price of the current declaration period according to the declaration price and declaration ceiling price of the historical declaration period similar to the current declaration period and the declaration ceiling price of the predetermined current declaration period.
In this step, the electronic device may calculate a recommended value of the declaration price of the current declaration period based on the declaration price and declaration ceiling price of the history declaration period similar to the current declaration period and the declaration ceiling price of the current declaration period determined in advance. Specifically, the electronic device may input the declaration price and declaration ceiling price of the historical declaration period and the declaration ceiling price of the current declaration period, which are similar to the current declaration period, into a predetermined recommended value calculation model, and obtain the recommended value of the declaration price of the current declaration period through the recommended value calculation model. The recommended value calculation model in the embodiment of the application can be as follows: Wherein P k is the declaration price of the kth declaration period, P k is the declaration ceiling price of the kth declaration period, P is the declaration ceiling price of the current declaration period, r is a predetermined positive integer, and a i is the fitting parameter after the corresponding self-learning training of the ith round of calculation. r can be defined according to the number of historical data, and the larger the historical data, the larger the settable value of r and the larger the fitting parameter a i.
The recommendation method of the declaration price provided by the embodiment of the application firstly receives a bid declaration request sent by a user in the current declaration period; then, responding to the bid declaration request, and acquiring a state vector corresponding to the current declaration period and a state vector corresponding to each historical declaration period; determining a historical reporting period similar to the current reporting period according to the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period; and finally, calculating the recommended value of the declaration price of the current declaration period based on the demand response of the historical declaration period similar to the current declaration period. That is, in the present application, the recommended value of the declaration price of the current declaration period may be calculated based on the demand response of the history declaration period similar to the current declaration period. In the prior art, the agent can only give the declaration price by experience and self operation and adjustment cost, so that great uncertainty exists. Therefore, compared with the prior art, the recommendation method of the declaration price provided by the embodiment of the application can give the recommendation value of the declaration price in an opaque bidding environment, so that the data fitting effect and the estimation accuracy can be improved; in addition, the technical scheme of the embodiment of the application is simple and convenient to realize, convenient to popularize and wider in application range.
Fig. 4 is a schematic structural diagram of a price reporting recommendation device according to an embodiment of the present application. As shown in fig. 4, the recommendation device for reporting a price includes: a receiving module 401, an acquiring module 402, a determining module 403 and a calculating module 404; wherein,
The receiving module 401 is configured to receive a bid declaration request sent by a user in a current declaration period;
The acquiring module 402 is configured to respond to the bid declaration request, and acquire a state vector corresponding to the current declaration period and a state vector corresponding to each historical declaration period;
The determining module 403 is configured to determine a historical reporting period similar to the current reporting period according to the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period;
the calculating module 404 is configured to calculate a recommended value of a declaration price of the current declaration period based on a demand response of a historical declaration period similar to the current declaration period.
The recommending device for the declaration price can execute the method provided by any embodiment of the application, and has the corresponding functional modules and beneficial effects of executing the method. Technical details not described in detail in this embodiment may be referred to the recommendation method of the declared price provided in any embodiment of the present application.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Fig. 5 shows a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the application. The electronic device 12 shown in fig. 5 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present application.
As shown in fig. 5, the electronic device 12 is in the form of a general purpose computing device. Components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.
Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by electronic device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. The electronic device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 5, commonly referred to as a "hard disk drive"). Although not shown in fig. 5, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the application.
A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.
The electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the electronic device 12, and/or any devices (e.g., network card, modem, etc.) that enable the electronic device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Also, the electronic device 12 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through a network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device 12 over the bus 18. It should be appreciated that although not shown in fig. 5, other hardware and/or software modules may be used in connection with electronic device 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, for example, implementing the recommended method of declaring prices provided by the embodiment of the present application.
The embodiment of the application also provides a computer storage medium.
The computer-readable storage media of embodiments of the present application may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Note that the above is only a preferred embodiment of the present application and the technical principle applied. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the application. Therefore, while the application has been described in connection with the above embodiments, the application is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the application, which is set forth in the following claims.

Claims (10)

1. A method of recommending a declared price, the method comprising:
Receiving a bid declaration request sent by a user in a current declaration period;
Responding to the bid declaration request, and acquiring a state vector corresponding to the current declaration period and a state vector corresponding to each historical declaration period;
Determining a historical reporting period similar to the current reporting period according to the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period;
and calculating a recommended value of the declaration price of the current declaration period based on the demand response of the historical declaration period similar to the current declaration period.
2. The method of claim 1, wherein the state vector corresponding to the current reporting period is: wherein/> An adjustable load for the current reporting period; /(I)The electric load is used for the area in the current reporting period; /(I)Reporting advance of the current reporting period; /(I)Reporting ceiling price for the current reporting period; Weather for the current reporting period; the state vectors corresponding to each historical reporting period are as follows: wherein/> An adjustable load for a kth reporting period; /(I)The electric load is used for the region in the kth reporting period; /(I)Reporting advance for the kth reporting period; /(I)Reporting ceiling price for the kth reporting period; Weather for the kth reporting period; k is a natural number of 1 or more.
3. The method of claim 1, wherein prior to receiving a bid-to-claim request sent by a user during a current claim period, the method further comprises:
acquiring original state vectors corresponding to each historical reporting period in a database;
carrying out standardization processing on the original state vector corresponding to each historical reporting period to obtain a standard state vector corresponding to each historical reporting period;
And storing the state vector of the standard corresponding to each historical reporting period as the state vector corresponding to each historical reporting period into the database.
4. The method of claim 1, wherein determining a historic reporting period similar to the current reporting period based on the state vector corresponding to the current reporting period and the state vector corresponding to each historic reporting period, comprises:
calculating the distance between the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period;
And determining a historical reporting period similar to the current reporting period according to the distance between the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period.
5. The method of claim 1, wherein calculating the distance between the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period comprises:
extracting each current element from the state vector corresponding to the current reporting period, and extracting each history element from the state vector corresponding to each history reporting period;
And inputting each current element and each historical element into a predetermined distance calculation model, and obtaining the distance between the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period through the distance calculation model.
6. The method of claim 1, wherein calculating a recommended value of a declared price for the current declared period based on demand responses for historical declared periods similar to the current declared period, comprises:
Acquiring a declaration price and declaration ceiling price of a history declaration period similar to the current declaration period in a demand response of the history declaration period similar to the current declaration period;
Calculating a recommended value of the declaration price of the current declaration period according to the declaration price and declaration ceiling price of the historical declaration period similar to the current declaration period and the declaration ceiling price of the current declaration period which is determined in advance.
7. The method of claim 6, wherein calculating a recommended value for the declared price for the current declared period based on declared prices and declared ceiling price for historic declared periods similar to the current declared period and a predetermined declared period ceiling price for the current declared period, comprises:
And inputting the declaration price and declaration ceiling price of the historical declaration period similar to the current declaration period and the declaration ceiling price of the current declaration period into a predetermined recommendation value calculation model, and obtaining a recommendation value of the declaration price of the current declaration period through the recommendation value calculation model.
8. A recommendation device for declaring a price, the device comprising: the device comprises a receiving module, an acquisition module, a determination module and a calculation module; wherein,
The receiving module is used for receiving a bid declaration request sent by a user in the current declaration period;
The acquisition module is used for responding to the bid declaration request and acquiring a state vector corresponding to the current declaration period and a state vector corresponding to each historical declaration period;
the determining module is used for determining a historical reporting period similar to the current reporting period according to the state vector corresponding to the current reporting period and the state vector corresponding to each historical reporting period;
The calculation module is used for calculating the recommended value of the declaration price of the current declaration period based on the demand response of the historical declaration period similar to the current declaration period.
9. An electronic device, comprising:
One or more processors;
A memory for storing one or more programs,
When executed by the one or more processors, causes the one or more processors to implement the recommendation method of claim 1 to 7.
10. A storage medium having stored thereon a computer program, which when executed by a processor implements a recommendation method of claim 1 to 7.
CN202410349959.XA 2024-03-26 2024-03-26 Recommendation method and device for declaration price, electronic equipment and storage medium Pending CN118115220A (en)

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