Wind Power Forecasting for Wind Farms Based on Neural Network

With large-scaled wind power integrated with power grids,the impacts of wind power on power grinds are more and more prominent,so much so that power cuts to limit consumption occur in many places.With 1 GW-level and 10 GW-level wind farms under planning or even under construction,effective and efficient wind power prediction is urgently needed to meet the requirements for connecting the wind power with power grids.In this paper,we try the ANN method to predict the wind power with the data of wind speed,wind direction from the numerical model and data of wind power data from the wind farm.The precision is almost equal to the one of European wind energy forecasting program.