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

• المؤلفون الرئيسيون: Lin, Guo Qian, Li, Ling Ling, Tseng, Ming Lang, Liu, Han Min, Yuan, Dong Dong, Tan, Raymond Girard R.
• التنسيق: text
• منشور في: Animo Repository 2020
• الموضوعات: Photovoltaic power generation; Support vector machines; Chemical Engineering; Energy Systems
• الوصول للمادة أونلاين: https://animorepository.dlsu.edu.ph/faculty_research/4134

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...