Short-term forecasting and uncertainty analysis of wind power based on long short-term memory, cloud model and non-parametric kernel density estimation

标题
Short-term forecasting and uncertainty analysis of wind power based on long short-term memory, cloud model and non-parametric kernel density estimation
作者
关键词
Long short-term memory (LSTM), Cloud model (CM), Non-parametric kernel density estimation (NPKDE), Wind power forecasting (WPF), Short-term forecasting, Uncertainty analysis
出版物
RENEWABLE ENERGY
Volume 164, Issue -, Pages 687-708
出版商
Elsevier BV
发表日期
2020-09-25
DOI
10.1016/j.renene.2020.09.087

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