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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Main Authors: | , , , , , |
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Format: | text |
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Animo Repository
2020
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Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/4134 |
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Institution: | De La Salle University |
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