Electrical load data prediction method, apparatus and device, and readable storage medium

• Main Authors: YU ZHUO, WANG NAN, WEI YUE, ZHAO JIUYONG, JIAO XIAO, ZHU WENJUN, LYU HAI, XUE TIANTIAN, CHEN WANKUN, WANG WENSHENG, LEI LIANGHUI, YUAN WENNA, WANG JIANAN, YUAN BAO, SONG YAQIONG, WU QING, ZHU JINHONG
• Format: Patent
• Language: Chinese; English
• Published: 01.12.2023
• Subjects: CALCULATING; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; COMPUTING; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; ELECTRICITY; GENERATION; PHYSICS; SYSTEMS FOR STORING ELECTRIC ENERGY; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses an electrical load data prediction method, device and equipment and a readable storage medium, and relates to the field of data prediction, and the electrical load data prediction method comprises the steps: obtaining to-be-predicted electrical characteristic data in a preset time period; inputting the to-be-predicted power utilization characteristic data into the load data prediction model to obtain target power utilization load data in a preset time period; wherein the load data prediction model is obtained by training according to source domain data, the source domain data is labeled data, and the source domain data is electrical load data in an associated field of the field to which the target electrical load data belongs. Visibly, the load data model can be trained by taking the labeled data in the associated field of the field to which the target electrical load data belongs as the training data, so that the non-labeled data in the field to which the target electrical load data b