An improved moth-flame optimization algorithm for support vector machine prediction of photovoltaic power generation

An improved moth-flame optimization algorithm for support vector machine prediction of photovoltaic power generation

With the expansion of grid-connected solar power generation, the variability of photovoltaic power generation has become increasingly pronounced. Accurate photovoltaic output prediction is necessary to ensure power system stability. In this work, an inertia weighting strategy and the Cauchy mutation...

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書目詳細資料
Main Authors:	Lin, Guo Qian, Li, Ling Ling, Tseng, Ming Lang, Liu, Han Min, Yuan, Dong Dong, Tan, Raymond Girard R.
格式:	text
出版:	Animo Repository 2020
主題:	Photovoltaic power generation Support vector machines Chemical Engineering Energy Systems
在線閱讀:	https://animorepository.dlsu.edu.ph/faculty_research/4134
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