Study on forecast of time series of wind velocity for wind power generation by using wide meteorological data

Abstract

This paper describes an application of a neural network for forecasting to time variation of wind velocity. We discuss the forecasted results of wind velocity of 4 m/s or more on the day as a case study. The neural network is used to forecast the wind velocity and the pattern matching is used to choose the training data of the neural network. It is found from our investigations that forecasting accuracy of the time series of wind velocity is improved by utilization the pattern matching of the weather map data. From the power generation simulation result, it is confirmed that the error of wind velocity greatly affects the power output. Therefore, the prediction accuracy of wind velocity is important. © 2008 The Institute of Electrical Engineers of Japan.