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

IF 3.1 4区 工程技术 Q3 ENERGY & FUELS International Journal of Green Energy Pub Date : 2024-02-26 DOI:10.1080/15435075.2024.2319228
Guangcheng Gu, Ningbo Li, Yaying Pan, Chonghui Jin, Yabin Li, Rongjie Fang, Kaibo Chen, Qi Wang
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Abstract

The unpredictability and instability of wind have hindered the development and utilization of wind power. To harness wind energy and ensure a secure and stable power grid after wind power integrat...
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基于机器学习模型的风电预测:以浙江沿海风电场为例
风的不可预测性和不稳定性阻碍了风能的开发和利用。为了利用风能,确保风电并网后电网的安全和稳定,风电场的建设和运营必须考虑风能的可预测性和不稳定性...
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来源期刊
International Journal of Green Energy
International Journal of Green Energy 工程技术-能源与燃料
CiteScore
6.60
自引率
9.10%
发文量
112
审稿时长
3.7 months
期刊介绍: International Journal of Green Energy shares multidisciplinary research results in the fields of energy research, energy conversion, energy management, and energy conservation, with a particular interest in advanced, environmentally friendly energy technologies. We publish research that focuses on the forms and utilizations of energy that have no, minimal, or reduced impact on environment, economy and society.
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