Open AccessEnsemble 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,
S. 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 , support vector machine , north american mesoscale model , solar power , photovoltaic system , feature selection , artificial intelligence , data mining , machine learning , power (physics) , numerical weather prediction , meteorology , statistics , engineering , mathematics , global forecast system , geography , physics , quantum mechanics , electrical engineering