Forecasting Wind Power Generation Using Artificial Neural Network

Today, among renewable energy sources, wind is used effectively as a clean and sustainable source in electricity generation. The uncertain nature of sources the smart ability neural network approach to process complex time series inputs have allowed use artificial (ANN) methods prediction In this study, speed power turbines generation were estimated from data using networks. our calculations, real test phase, speed-power six different types training phase. It has been shown that predictions made by ANN model regression curves training, validation, obtained are quite successful reliable. According results, it understood potential selected region good enough electrical need for can be met appropriate turbine type, so invest energy.