Open AccessShort-Term and Very Short-Term Wind Power Forecasting Using a Hybrid ICA-NN Method
Author(s) -
Mojtaba Jabbari Ghadi,
S. Hakimi Gilani,
Hossein Afrakhte,
Alfred Baghramian
Publication year - 2014
Publication title -
international journal of computing and digital system/international journal of computing and digital systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.152
H-Index - 6
eISSN - 2535-9886
pISSN - 2210-142X
DOI - 10.12785/ijcds/030108
Subject(s) - wind power , wind speed , wind power forecasting , imperialist competitive algorithm , artificial neural network , scada , term (time) , computer science , electric power system , renewable energy , power (physics) , engineering , meteorology , artificial intelligence , machine learning , particle swarm optimization , electrical engineering , geography , physics , quantum mechanics , multi swarm optimization