SHORT-TERM WIND FORECASTING TECHNIQUES FOR POWER GENERATION

Abstract

This paper describes wind prediction for power generation purposes and introduces a novel approach application of an Adaptive Neural Fuzzy Inference System (ANFIS) to forecasting a wind time series. Wind power currently is the fastest growing power generation sector in the world. However, wind power is intermittent and can cause system instability in a deregulated system. A report on Australia’s Renewable Energy (Electricity) Act 2000 acknowledged that excessive investment in wind power would lead to the National Electricity Market becoming unstable. Thus accurate short-term forecasts are essential.