Short and Mid-Term Wind Power Forecasting with ANN-PSO

Abstract

Wind energy as a source of renewable energy and with the low pollution had a significant growth in recent years. One of the main problems in the use of wind turbines, is rapid changes in output power of these turbines. The wind power depends on the wind speed, which is a random variable and irregular, for efficient operation of wind power units accurate short-term forecasts are essential. The knowledge of future power generation frome wind turbines is useful for schedulers, transmission operators and energy traders. This paper presents a wind power prediction model based on Elman neural network -Particles swarm optimization algorithm. The Data have been used for two sites stanford and chester in the USA in 2008 and 2009. These data include wind speed, temperature, output power.