A High-Accuracy Wind Power Forecasting Model

作者：Fang, Shengchen^*; Chiang, Hsiao-Dong

来源：IEEE Transactions on Power Systems, 2017, 32(2): 1589-1590.

DOI：10.1109/TPWRS.2016.2574700

• Gaussian processes
• wind power forecasting
• composite covariance function

In this letter, a forecasting model consisting of the Gaussian process with a novel composite covariance function for high-accuracy wind power forecasting is presented. The proposed composite covariance function is based on the exploration of joint effects between numerical weather prediction features. The performance of the proposed forecasting model is evaluated using the 2012 global energy forecasting competition wind power forecasting data, and the proposed model outperforms all of the competitors.

• 出版日期2017-3
• 单位天津大学