Short-term load prediction method and device

Short-term load prediction method and device

The invention belongs to the technical field of load prediction, and particularly relates to a short-term load prediction method and device, and the method comprises the steps: obtaining a load prediction model of each load component in a network supply load; obtaining a predicted value of each load...

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Hauptverfasser: SUN YI, LIU WEI, DU CHENGRUI, GUO XIAMING, CAI JUN, FENG ZHIBO, YANG XIAOLEI, ZHANG GUOFANG, SUN YONGCHAO, LU YI, DENG FUYAO, LIAO YE, LI ZUGANG, GAO CHENG, WEN YAKUN, ZHANG DAWEI, HU JIAJIA, ZHANG CHI, WU GANG, CHEN JING
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
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 belongs to the technical field of load prediction, and particularly relates to a short-term load prediction method and device, and the method comprises the steps: obtaining a load prediction model of each load component in a network supply load; obtaining a predicted value of each load component by using the load prediction model of each load component; obtaining a network supply load prediction model; and taking the predicted value of each load component as the input of the network supply load prediction model, and obtaining the predicted value of the network supply load. According to the technical scheme provided by the invention, feature analysis and prediction can be carried out on each load component, and the prediction refinement degree is improved; and effective decomposition of each load component in the network supply load is realized, so that scheduling personnel can know the components and the change rule of the network supply load, and the accuracy of network supply load prediction i