Method and device for predicting short-term power load

• Main Authors: SHI YONGBO, WANG YUJUN, ZHU TIANBO, LI JIAHONG, XU XIN, WANG PENGWU, FU JUN, ZHANG YANLI, ZHANG LINGYU, YANG YIFAN, NIU YINING, JIE ZHIYI
• Format: Patent
• Language: Chinese; English
• Published: 01.06.2016
• Subjects: 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

The invention provides a method and a device for predicting short-term power load, which relate to the technical field of power load prediction. The method comprises steps: historical data of the power load and historical data of weather information are acquired, and fuzzy cluster analysis pretreatment is carried out; according to a fuzzy cluster analysis algorithm, the historical data of the power load after pretreatment are subjected to fuzzy cluster, fuzzy cluster parameters are adjusted, and the optimal classification for the historical data of the power load is acquired; according to a sliding window, historical training data of the power load are acquired from the historical data of the power load in the optimal classification, and the historical training data of the power load and the historical training data of the weather information are acquired; and according to a preset prediction algorithm, the historical training data of the power load and the historical training data of the weather information