Ensemble models for solar power forecasting—a weather classification approach | Zendy

P. A. G. M. Amarasinghe | Zendy; N. S. Abeygunawardana | Zendy; T. N. Jayasekara | Zendy; E. A. J. P. Edirisinghe | Zendy; Saranga K. Abeygunawardane | Zendy

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Ensemble models for solar power forecasting—a weather classification approach

Author(s) -

P. A. G. M. Amarasinghe,

N. S. Abeygunawardana,

T. N. Jayasekara,

E. A. J. P. Edirisinghe,

Saranga K. Abeygunawardane

Publication year - 2020

Publication title -

aims energy

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 0.294

H-Index - 9

eISSN - 2333-8334

pISSN - 2333-8326

DOI - 10.3934/energy.2020.2.252

Subject(s) - ensemble forecasting , random forest , solar irradiance , ensemble learning , computer science , mean squared error , north american mesoscale model , support vector machine , photovoltaic system , solar power , space weather , artificial intelligence , numerical weather prediction , machine learning , meteorology , power (physics) , statistics , engineering , global forecast system , mathematics , geography , physics , quantum mechanics , electrical engineering

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