Wind power forecasting based on a machine learning model: considering a coastal wind farm in Zhejiang as an example

Author:

Gu Guangcheng1,Li Ningbo1,Pan Yaying2,Jin Chonghui1,Li Yabin1,Fang Rongjie1,Chen Kaibo1,Wang Qi1

Affiliation:

1. Guodian NingBo Wind Power Development Co. Ltd, NingBo, China

2. Zhejiang Meteorological Service Center, HangZhou, China

Funder

Zhejiang Provincial Natural Science Foundation of China

Meteorological Bureau of Zhejiang Province, China

Publisher

Informa UK Limited

Reference31 articles.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine learning approaches in predicting the wind power output and turbine rotational speed in a wind farm;Energy Sources, Part A: Recovery, Utilization, and Environmental Effects;2024-08-25

2. Optimized scheduling study of integrated energy system considering user response characteristics;International Journal of Green Energy;2024-08-18

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