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Prediction of Photovoltaic Power Using Nature-Inspired Computing
Prediction of photovoltaic (PV) energy is an important task. It allows grid operators to plan production of energy in order to secure stability of electrical grid. In this work we focus on improving prediction of PV energy using nature-inspired algorithms for optimization of Support Vector Regressio...
Autores principales: | Sumega, Miroslav, Bou Ezzeddine, Anna, Grmanová, Gabriela, Rozinajová, Viera |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7354785/ http://dx.doi.org/10.1007/978-3-030-53956-6_3 |
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