Application of extreme learning machine for short term output power forecasting of three grid-connected PV systems

• Main Authors: Hossain, Monowar, Mekhilef, Saad, Danesh, Malihe, Olatomiwa, Lanre, Shamshirband, Shahaboddin
• Format: Article
• Published: Elsevier 2017
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/21873/; https://doi.org/10.1016/j.jclepro.2017.08.081

The power output (PO) of a photovoltaic (PV) system is highly variable because of its dependence on solar irradiance and other meteorological factors. Hence, accurate PO forecasting of a grid-connected PV system is essential for grid stability, optimal unit commitment, economic dispatch, market part...