Deep learning electricity price prediction method and device based on multi-source data fusion of power internet of things

Deep learning electricity price prediction method and device based on multi-source data fusion of power internet of things

The invention relates to a deep learning electricity price prediction method and device based on electric power Internet of Things multi-source data fusion, and the method comprises the steps: obtaining the predicted electricity price of each region in a target region in a preset time period, and en...

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Hauptverfasser: LIU QING, ZOU FENG, LI WENJING, CHEN YANWEI, LIU DI, PAN LONG, HUANG WENSI, CHEN ZHIPENG, ZHANG NAN, WANG CHUANJIANG, LIN SHEN, LIU ZHU, LUO YIWANG, GUO WENJING, WU GUOMENG
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The invention relates to a deep learning electricity price prediction method and device based on electric power Internet of Things multi-source data fusion, and the method comprises the steps: obtaining the predicted electricity price of each region in a target region in a preset time period, and enabling an electricity price prediction model disposed in each region in advance to carry out the prediction of a corresponding historical electricity price data set, thereby obtaining the predicted electricity price; then acquiring a historical power load mean value of each region; carrying out fusion weight calculation on the historical power load mean value to obtain a fusion weight corresponding to the historical load mean value of each region; and performing fusion calculation on the predicted electricity price based on the fusion weight to obtain a final predicted electricity price in the preset time period. The electricity price is predicted through fusion calculation, large-scale transmission of data is avoi