CN109492836A - Load forecast and Research on electricity price prediction system based on shot and long term memory network - Google Patents
Load forecast and Research on electricity price prediction system based on shot and long term memory network Download PDFInfo
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Abstract
The present invention relates to a kind of load forecasts based on shot and long term memory network and Research on electricity price prediction system, the system includes data multidomain treat-ment module, Weather information module, electricity price information module, database, shot and long term memory network load prediction module, Research on electricity price prediction module and real-time communication module and control management module, the data multidomain treat-ment module, Weather information module and electricity price information module are separately connected database, the control management module passes through Research on electricity price prediction module respectively, real-time communication module connects database with shot and long term memory network load prediction module.Compared with prior art, the invention has the following advantages that accurately prediction associate power data, guarantee power system security reliability service realize that economic results in society maximize.
Description
Technical field
The present invention relates to energy forecast fields, more particularly, to a kind of load forecast based on shot and long term memory network
With Research on electricity price prediction system.
Background technique
Load forecast is the important component of demand Side Management, passes through load prediction, it will be appreciated that future
The development and change of load targetedly propose Demand-side electricity consumption corrective measure, load curve are improved, to optimize electric power tune
Degree, relevant staff can be generated electricity by prediction result, be transported and electricity consumption, and assessment, which distributes, simultaneously establishes effective plan,
Help to reduce cost of electricity-generating and realizes target for energy-saving and emission-reduction.Power department can pass through load prediction system discovery electric power simultaneously
The potential risk of system, and hidden danger is excluded in time, stable electric power is exported for user, it is ensured that the reliability service of electric system.
But the existing big multifunction structure of forecasting system is single, only carries out single load prediction, and can not be simultaneously
Predict related electricity price to carry out on-demand power purchase or sale of electricity.The Predicting Techniques such as trend extropolation, the regression analysis used simultaneously are more
Fall behind, and different electricity consumption regions can not be divided according to diverse geographic location to predict electric load, therefore cannot
Meet actual production living needs well.
China Patent No. CN109066661A discloses a kind of sale of electricity Deviation Control Method and sale of electricity control system, this method
It include: the bid rules for obtaining user, long association's electricity and load prediction electricity；Receive the practical electricity consumption of user；According to bidding
Electricity, long association's electricity, load prediction electricity and practical electricity consumption obtain sale of electricity bias contribution；In sale of electricity bias contribution not default
When in range, sale of electricity bias contribution is sent；Sale of electricity bias contribution is for determining that corresponding control instruction, control instruction are used to indicate
Adjust the state of at least one in generating equipment, energy storage device and load.It the sale of electricity Deviation Control Method of the disclosure of the invention and sells
Electric control system can balance sale of electricity deviation, but not predict electricity price, also come without dividing different electricity consumption regions to electricity
Power load is predicted.
Summary of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide one kind to be remembered based on shot and long term
Recall the load forecast and Research on electricity price prediction system of network.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of load forecast based on shot and long term memory network and Research on electricity price prediction system, which is characterized in that the system
Including data multidomain treat-ment module, Weather information module, electricity price information module, database, shot and long term memory network load prediction
Module, Research on electricity price prediction module, real-time communication module and control management module, the data multidomain treat-ment module, weather letter
Breath module and electricity price information module are separately connected database, and the control management module passes through Research on electricity price prediction module, reality respectively
When communication module with shot and long term memory network load prediction module connect database.
Preferably, the data multidomain treat-ment module is according to load actual geographic position and local grid management systems
Middle correlation electricity consumption data divides electricity consumption region, is industrial area, shopping centre, residential block and public work by electricity consumption region division
Dynamic four, area region, then carries out the integration and processing of data to each region after division, and the data handled well are passed to
It is stored in database.
Preferably, the Weather information module and electricity price information module acquisition related weather information and electricity price information, and
Collected data are passed in database and are stored, so as to subsequent different function calling.
Preferably, the database purchase historical load data, load prediction data, history electricity price data, prediction electricity
Valence mumber is accordingly and associated weather data, pre- to control management module, shot and long term memory network load prediction module and electricity price
Module is surveyed to call.
Preferably, the shot and long term memory network load prediction module is first to the historical load number transferred from database
It is pre-processed according to using variation mode decomposition technology, then carries out load prediction using the data pre-processed, utilize simultaneously
Particle swarm optimization algorithm optimizes the input and output weight of shot and long term memory network.
Preferably, the Research on electricity price prediction module utilizes Weather information, load data and the correlation stored in database
History electricity price predicts the following electricity price, and predicted value is sent and is stored into database.
Preferably, the method that the Research on electricity price prediction uses includes simulation and forecast, statistical forecast and artificial intelligence prediction.
Preferably, the control management module accesses database by real-time communication module, realizes to number in database
According to management with check, while it is corresponding by calling shot and long term memory network load prediction module and Research on electricity price prediction module to realize
Function.
Preferably, the control management module includes system function selection, Electricity price forecasting solution selection and data management；
The system function includes load forecast functions and Research on electricity price prediction function, and the load forecast functions are used to pre-
Survey the power load in different electricity consumption regions；The Research on electricity price prediction function is used to predict electricity price；The load prediction
Function and Research on electricity price prediction function are combinable, realize load prediction and Research on electricity price prediction to electricity consumption region；
The Electricity price forecasting solution selection includes: user according to their needs and according to by data multidomain treat-ment
The understanding in the different electricity consumption regions after resume module selects simulation and forecast, statistical forecast or artificial in control management module
The Electricity price forecasting solution of intelligent predicting；
The data management include: to the historical load data of different zones in system database, history electricity price data,
Predict input, the delete operation of load data, forecasted electricity market price data and Weather information data, display prediction curve and practical song
Line calculates the error of prediction data and real data, while realizing to industrial area, shopping centre, residential block and public activity area
Load, electricity price and weather data display and inquiry.
Compared with prior art, the invention has the following advantages that
1, the power load that different electricity consumption regions can be predicted with flexible choice load forecast functions, it is pre- also to can choose electricity price
Brake predicts electricity price, while can combine the two, realizes load prediction and Research on electricity price prediction to electricity consumption region.
2, user can be according to their needs and according to by the different use after data multidomain treat-ment resume module
The understanding in electric region flexibly and easily selects simulation and forecast, statistical forecast or artificial intelligence prediction etc. in control management module
Electricity price forecasting solution.
3, associate power data can accurately be predicted, guarantee power system security reliability service, realize society's warp
Ji maximizing the benefits.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of load forecast and Research on electricity price prediction system of the invention.
Fig. 2 is the structural schematic diagram of control management module of the invention.
Specific embodiment
The technical scheme in the embodiments of the invention will be clearly and completely described below, it is clear that described implementation
Example is a part of the embodiments of the present invention, rather than whole embodiments.Based on the embodiments of the present invention, ordinary skill
Personnel's every other embodiment obtained without making creative work all should belong to the model that the present invention protects
It encloses.
The principle of the present invention: mainly predicting electric load using the shot and long term memory network in neural network,
Research on electricity price prediction is carried out according to related data in database simultaneously.
As shown in Figure 1, a kind of load forecast based on shot and long term memory network and Research on electricity price prediction system, the system packet
Include data multidomain treat-ment module, Weather information module, electricity price information module, database, shot and long term memory network load prediction mould
Block, Research on electricity price prediction module and real-time communication module and control management module, the data multidomain treat-ment module, Weather information
Module and electricity price information module are separately connected database, and the control management module passes through Research on electricity price prediction module, in real time respectively
Communication module connects database with shot and long term memory network load prediction module.
The data multidomain treat-ment module is according to related in load actual geographic position and local grid management systems
Electricity consumption data divides electricity consumption region, is industrial area, shopping centre, residential block and public activity area four by electricity consumption region division
Then a region carries out the integration and processing of data to each region after division, and the data handled well is passed to database
In stored.
The Weather information module and electricity price information module acquisition related weather information and electricity price information, and will collect
Data be passed to database in stored, so as to subsequent different function calling.
The database purchase historical load data, load prediction data, history electricity price data, forecasted electricity market price data with
And associated weather data, to control management module, shot and long term memory network load prediction module and Research on electricity price prediction module tune
With.
The shot and long term memory network load prediction module first utilizes the historical load data transferred from database
Variation mode decomposition technology is pre-processed, and then carries out load prediction using the data pre-processed, while utilizing population
Optimization algorithm optimizes the input and output weight of shot and long term memory network.
The Research on electricity price prediction module utilizes Weather information, load data and the relevant historical electricity price stored in database
The following electricity price predicted, and predicted value is sent and is stored into database.
The method that the Research on electricity price prediction uses includes simulation and forecast, statistical forecast and artificial intelligence prediction.
The control management module accesses database by real-time communication module, realizes the management to data in database
With check, while by calling shot and long term memory network load prediction module and Research on electricity price prediction module to realize corresponding function.
As shown in Fig. 2, control management module is broadly divided into system function selection, Electricity price forecasting solution selection and data pipe
Reason.System can predict the power load in different electricity consumption regions with flexible choice load forecast functions, also can choose Research on electricity price prediction
Function predicts electricity price, while can combine the two, realizes load prediction and Research on electricity price prediction to electricity consumption region.
In Electricity price forecasting solution selection, user can be according to their needs and according to by data multidomain treat-ment mould
The understanding in the different electricity consumption regions after block processing flexibly and easily selects simulation and forecast, statistics pre- in control management module
The Electricity price forecasting solutions such as survey or artificial intelligence prediction.
Data management mainly realize to the historical load data of different zones in system database, history electricity price data,
It predicts that load data, input, the deletion of forecasted electricity market price data and Weather information data etc. operate, shows prediction curve and reality
Curve calculates the error of prediction data and real data.It realizes simultaneously to industrial area, shopping centre, residential block and public activity
The display and inquiry of the load, electricity price and weather data in area.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can readily occur in various equivalent modifications or replace
It changes, these modifications or substitutions should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with right
It is required that protection scope subject to.
Claims (9)
1. a kind of load forecast based on shot and long term memory network and Research on electricity price prediction system, which is characterized in that the system packet
Include data multidomain treat-ment module, Weather information module, electricity price information module, database, shot and long term memory network load prediction mould
Block, Research on electricity price prediction module, real-time communication module and control management module, the data multidomain treat-ment module, Weather information
Module and electricity price information module are separately connected database, and the control management module passes through Research on electricity price prediction module, in real time respectively
Communication module connects database with shot and long term memory network load prediction module.
2. a kind of load forecast based on shot and long term memory network according to claim 1 and Research on electricity price prediction system,
It is characterized in that, the data multidomain treat-ment module is according to phase in load actual geographic position and local grid management systems
It closes electricity consumption data to divide electricity consumption region, is industrial area, shopping centre, residential block and public activity area by electricity consumption region division
Then four regions carry out the integration and processing of data to each region after division, and the data handled well are passed to data
It is stored in library.
3. a kind of load forecast based on shot and long term memory network according to claim 1 and Research on electricity price prediction system,
It is characterized in that, the Weather information module and electricity price information module acquisition related weather information and electricity price information, and will adopt
The data collected are passed in database and are stored, so as to subsequent different function calling.
4. a kind of load forecast based on shot and long term memory network according to claim 1 and Research on electricity price prediction system,
It is characterized in that, the database purchase historical load data, load prediction data, history electricity price data, forecasted electricity market price number
Accordingly and associated weather data, to control management module, shot and long term memory network load prediction module and Research on electricity price prediction mould
Block calls.
5. a kind of load forecast based on shot and long term memory network according to claim 1 and Research on electricity price prediction system,
It is characterized in that, the shot and long term memory network load prediction module is first to the historical load data benefit transferred from database
It is pre-processed with variation mode decomposition technology, then carries out load prediction using the data pre-processed, while utilizing particle
Colony optimization algorithm optimizes the input and output weight of shot and long term memory network.
6. a kind of load forecast based on shot and long term memory network according to claim 1 and Research on electricity price prediction system,
It is characterized in that, the Research on electricity price prediction module utilizes Weather information, load data and the relevant historical stored in database
Electricity price predicts the following electricity price, and predicted value is sent and is stored into database.
7. a kind of load forecast based on shot and long term memory network according to claim 6 and Research on electricity price prediction system,
It is characterized in that, the method that the Research on electricity price prediction uses includes simulation and forecast, statistical forecast and artificial intelligence prediction.
8. a kind of load forecast based on shot and long term memory network according to claim 1 and Research on electricity price prediction system,
It is characterized in that, the control management module accesses database by real-time communication module, realize to data in database
It manages and checks, while by calling shot and long term memory network load prediction module and Research on electricity price prediction module to realize corresponding function
Energy.
9. a kind of load forecast based on shot and long term memory network according to claim 1 and Research on electricity price prediction system,
It is characterized in that, the control management module includes system function selection, Electricity price forecasting solution selection and data management；
The system function includes load forecast functions and Research on electricity price prediction function, and the load forecast functions are used to predict not
With the power load in electricity consumption region；The Research on electricity price prediction function is used to predict electricity price；The load forecast functions
It is combinable with Research on electricity price prediction function, realize load prediction and Research on electricity price prediction to electricity consumption region；
The Electricity price forecasting solution selection includes: user according to their needs and according to by data multidomain treat-ment module
The understanding in the different electricity consumption regions after processing selects simulation and forecast, statistical forecast or artificial intelligence in control management module
The Electricity price forecasting solution of prediction；
The data management includes: to the historical load data of different zones, history electricity price data, prediction in system database
Load data, the input of forecasted electricity market price data and Weather information data, delete operation show prediction curve and actual curve,
The error of prediction data and real data is calculated, while realizing and industrial area, shopping centre, residential block and public activity area is born
The display and inquiry of lotus, electricity price and weather data.
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| CN110866645A (en) * | 2019-11-15 | 2020-03-06 | 国网湖南省电力有限公司 | Ultra-short-term load prediction method and system based on deep learning |
| CN112446593A (en) * | 2020-11-12 | 2021-03-05 | 广东电网有限责任公司广州供电局 | Short-term load prediction method and system of LSTM neural network |
| CN112633604A (en) * | 2021-01-04 | 2021-04-09 | 重庆邮电大学 | Short-term power consumption prediction method based on I-LSTM |
| CN113269468A (en) * | 2021-06-17 | 2021-08-17 | 山东卓文信息科技有限公司 | Power dispatching system based on block chain and data processing method thereof |
| CN116799832A (en) * | 2023-04-14 | 2023-09-22 | 淮阴工学院 | Intelligent regulation and control hybrid energy storage power system based on big data |
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| CN113269468A (en) * | 2021-06-17 | 2021-08-17 | 山东卓文信息科技有限公司 | Power dispatching system based on block chain and data processing method thereof |
| CN116799832A (en) * | 2023-04-14 | 2023-09-22 | 淮阴工学院 | Intelligent regulation and control hybrid energy storage power system based on big data |
| CN116799832B (en) * | 2023-04-14 | 2024-04-19 | 淮阴工学院 | Intelligent regulation and control hybrid energy storage power system based on big data |
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