Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm

Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm

© 2019 Elsevier Ltd It is hard to predict wind power with high-precision due to its non-stationary and stochastic nature. The wind power has developed rapidly around the world as a promising renewable energy industry. The uncertainty of wind power brings difficult challenges to the operation of the...

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書目詳細資料
Main Authors:	Li, Ling Ling, Zhao, Xue, Tseng, Ming Lang, Tan, Raymond Girard R.
格式:	text
出版:	Animo Repository 2020
在線閱讀:	https://animorepository.dlsu.edu.ph/faculty_research/895 https://animorepository.dlsu.edu.ph/context/faculty_research/article/1894/type/native/viewcontent
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	De La Salle University

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