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Short-term wind power output prediction using hybrid-enhanced seagull optimization algorithm and support vector machine: A high-precision method
International Journal of Green Energy ( IF 3.3 ) Pub Date : 2024-03-27 , DOI: 10.1080/15435075.2024.2334498 Yuwei Liu 1, 2 , Lingling Li 1, 2 , Jiaqi Liu 1, 2
International Journal of Green Energy ( IF 3.3 ) Pub Date : 2024-03-27 , DOI: 10.1080/15435075.2024.2334498 Yuwei Liu 1, 2 , Lingling Li 1, 2 , Jiaqi Liu 1, 2
Affiliation
Affected by the uncertainty of external environmental factors, wind power generation has significant characteristics of randomness and non-stationarity. Accurately predicting wind power is a necess...
中文翻译：
基于混合增强海鸥优化算法和支持向量机的短期风电出力预测：一种高精度方法
受外部环境因素不确定性的影响，风力发电具有显着的随机性和非平稳性特征。准确预测风力发电势在必行...
更新日期：2024-03-29
中文翻译：
基于混合增强海鸥优化算法和支持向量机的短期风电出力预测：一种高精度方法
受外部环境因素不确定性的影响，风力发电具有显着的随机性和非平稳性特征。准确预测风力发电势在必行...
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