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Wind power forecasting based on a machine learning model: considering a coastal wind farm in Zhejiang as an example
International Journal of Green Energy ( IF 3.3 ) Pub Date : 2024-02-26 , DOI: 10.1080/15435075.2024.2319228 Guangcheng Gu 1 , Ningbo Li 1 , Yaying Pan 2 , Chonghui Jin 1 , Yabin Li 1 , Rongjie Fang 1 , Kaibo Chen 1 , Qi Wang 1
International Journal of Green Energy ( IF 3.3 ) Pub Date : 2024-02-26 , DOI: 10.1080/15435075.2024.2319228 Guangcheng Gu 1 , Ningbo Li 1 , Yaying Pan 2 , Chonghui Jin 1 , Yabin Li 1 , Rongjie Fang 1 , Kaibo Chen 1 , Qi Wang 1
Affiliation
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...
中文翻译：
基于机器学习模型的风电功率预测——以浙江某沿海风电场为例
风的不可预测性和不稳定性阻碍了风电的开发利用。为充分利用风能，保障风电并网后电网安全稳定...
更新日期：2024-02-26
中文翻译：
基于机器学习模型的风电功率预测——以浙江某沿海风电场为例
风的不可预测性和不稳定性阻碍了风电的开发利用。为充分利用风能，保障风电并网后电网安全稳定...
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