Csg Digital Power Grid Research Inst. Co., Ltd.

Tao Bao

Peng Li

Senjing Yao

Wei Xi

Shixian Pan

Xudong Hu

Changcheng Zhou

Yuanfeng Chen

Zhuohuan Li

Zihao Zhang

Xiyuan Ma

Yansen Chen

Kai Cheng

A method and a system for automatic machine learning-based prediction of new energy power with cloud-edge collaboration are disclosed. The method includes: obtaining, in response to a power prediction demand for a target new energy station, future numerical weather prediction data of the target new energy station in a future period and historical output power of a historical period corresponding to the future period; selecting, based on missing of the future numerical weather prediction data and a data amount of the historical output power, a target power prediction model corresponding to the target new energy station; and adjusting the target power prediction model according to the target working mode, and predicting, by the adjusted target power prediction model, a target output power of the target new energy station in the future period, based on the future numerical weather prediction data and the historical output power.

Method and system for automatic machine learning-based prediction of new energy power with cloud-edge collaboration

Growing community of inventors

Guangzhou, China

Tao Bao