Characteristic optimization migration-based electrical load prediction method and system

The invention provides an electrical load prediction method and system based on feature optimization migration, and belongs to the technical field of electrical load prediction. The method comprises the following steps: acquiring electrical load data of a target domain building; and according to the...

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Bibliographic Details
Main Authors WANG MINGYUAN, SHAO ZHULIANG, SHAO ZHUANG, FAN YUNPENG, MOU QIANG, WANG RUIQI, YANG HYEWON, CHI QINGQING
Format Patent
LanguageChinese
English
Published 18.08.2023
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Summary:The invention provides an electrical load prediction method and system based on feature optimization migration, and belongs to the technical field of electrical load prediction. The method comprises the following steps: acquiring electrical load data of a target domain building; and according to the obtained electrical load data of the target domain building, in combination with the target domain electrical load prediction model subjected to weight migration, obtaining electrical load prediction data of the target domain building in a certain period of time in the future. According to the invention, by migrating and optimizing the weight of the existing prediction model with relatively high electrical load accuracy of the same type of source domain buildings, electrical load prediction is carried out on the target domain building, and the load prediction accuracy is further improved while time and energy are saved. 本发明提供了一种基于特征优化迁移的用电负荷预测方法及系统,属于用电负荷预测技术领域。所述方法,包括:获取目标域建筑用电负荷数据;根据获取的目标域建筑用电负荷数据,结合经权重迁移的目标域用电负
Bibliography:Application Number: CN202310572159