08-08-2023 дата публикации
Номер: CN116565846A
Автор:
CUI YONG,
WU GUIHONG,
ZHANG YEQING,
XU LYUJUN,
CHEN WENBIN,
WU YINGCONG,
YANG LEI,
LIU CHENGLU,
ZHANG SHUYING,
LIU YUTAO,
ZHOU XINJIA,
LI RUIYAO,
ZHOU DIQING,
HE ZHENKAI,
SHI JIANLAI,
XU XIAOYONG,
WU CHANGHAO,
HE ZHENGXIN
Принадлежит:
The invention relates to the technical field of distributed power supply, and particularly provides a virtual power plant demand prediction method and system and a readable storage medium, and the method comprises the following steps: obtaining prediction time, a prediction region, and the predicted temperature, predicted weather and predicted user number of the location in a prediction time period, and recording the prediction time, the prediction region and the predicted temperature, predicted weather and predicted user number as first information; the first information is input into a prediction model, the prediction model outputs a power consumption demand, and the prediction model takes historical time, a place, historical temperature, historical weather and a historical user number as independent variables, takes historical power consumption demand as a dependent variable and is generated based on an artificial neural network; according to the virtual power plant prediction method ...
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