Artificial neural network based wind power forecasting in belgium

Abstract

Power generation from renewable energy sources needs great attention for future power sector to meet steadily increasing power demand and to reduce global warming. But, wind power generation is very unsure and intermittent in its nature. Wind power forecasting assists grid integration of enormous capacity wind farms to great extent. Grid stability is greatly accrued with the help of correct wind power forecasting This paper describes the suitability of NARX Artificial neural network in wind power forecasting with the historical power data accessible from European nation Belgium wind farms and meteorological information for wind speed.