Editorial

摘要

Welcome to the second issue for 2013. As usual, we feature a number of excellent wind engineering papers from a group of distinguished international researchers, and industrial based wind engineers. Our first paper is by Sheela and Deepa from Anna University (India). They present a comprehensive review of neural network models for wind speed forecasting. The next paper discusses a novel use of a measure-correlate-predict method for prediction of turbulence intensity distribution. The author, Casella, is from Suzlon Energy in Denmark. The third paper presents a method, and a case study, for assessing the repowering potential of wind farms.