Power load prediction system and method based on environmental variable perception and lag
The invention discloses a power load prediction system and method based on environmental variable perception and lag. The system comprises sensor modules, a storage module, a variable lag module, a Res-LSTM prediction module, an error redundancy calculation module, an electric energy storage calcula...
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creator | ZHANG CONGCHONG PENG TENG LIU XINGCHUAN WEI RUICHAO ZHAO YINGYING CHEN JIAXI |
description | The invention discloses a power load prediction system and method based on environmental variable perception and lag. The system comprises sensor modules, a storage module, a variable lag module, a Res-LSTM prediction module, an error redundancy calculation module, an electric energy storage calculation module and a power dispatching calculation module. The number of sensor modules is not less than two; the sensor modules are in communication connection with the storage module; the storage module is in communication connection with the variable lag module; the variable lag module is in communication connection with the Res-LSTM prediction module, the Res-LSTM prediction module is in communication connection with the error redundancy calculation module, and the error redundancy calculationmodule is in communication connection with the power dispatching calculation module and the electric energy storage calculation module. After the power load of each region is pre-distributed, the actual power load is compared |
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The system comprises sensor modules, a storage module, a variable lag module, a Res-LSTM prediction module, an error redundancy calculation module, an electric energy storage calculation module and a power dispatching calculation module. The number of sensor modules is not less than two; the sensor modules are in communication connection with the storage module; the storage module is in communication connection with the variable lag module; the variable lag module is in communication connection with the Res-LSTM prediction module, the Res-LSTM prediction module is in communication connection with the error redundancy calculation module, and the error redundancy calculationmodule is in communication connection with the power dispatching calculation module and the electric energy storage calculation module. 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The system comprises sensor modules, a storage module, a variable lag module, a Res-LSTM prediction module, an error redundancy calculation module, an electric energy storage calculation module and a power dispatching calculation module. The number of sensor modules is not less than two; the sensor modules are in communication connection with the storage module; the storage module is in communication connection with the variable lag module; the variable lag module is in communication connection with the Res-LSTM prediction module, the Res-LSTM prediction module is in communication connection with the error redundancy calculation module, and the error redundancy calculationmodule is in communication connection with the power dispatching calculation module and the electric energy storage calculation module. 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The system comprises sensor modules, a storage module, a variable lag module, a Res-LSTM prediction module, an error redundancy calculation module, an electric energy storage calculation module and a power dispatching calculation module. The number of sensor modules is not less than two; the sensor modules are in communication connection with the storage module; the storage module is in communication connection with the variable lag module; the variable lag module is in communication connection with the Res-LSTM prediction module, the Res-LSTM prediction module is in communication connection with the error redundancy calculation module, and the error redundancy calculationmodule is in communication connection with the power dispatching calculation module and the electric energy storage calculation module. After the power load of each region is pre-distributed, the actual power load is compared</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ELECTRICITY GENERATION SYSTEMS FOR STORING ELECTRIC ENERGY |
title | Power load prediction system and method based on environmental variable perception and lag |
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