Application of neural networks in wind power (generation) prediction

Wind power generation increases rapidly. The available wind energy depends on the wind speed, which is a random variable. For the wind-farm operator, this poses difficulty in the system scheduling and energy dispatching, as the schedule of the wind-power availability is not known in advance. In this paper, we propose an intelligent technique for forecasting wind speed of wind turbine. This technique is based on artificial neural network (ANN). The Back propagation (BP) neural network is then supplied with the data to establish the relationship between the inputs and the output. The model based on the neural network demonstrated a good agreement and produced the wind forecast with the accuracy of 90% and above.