计算机与现代化Issue(1)：13-16,22,5.DOI:10.3969/j.issn.1006-2475.2017.01.003
基于局部高斯过程的短期风速预测
Short-term Wind Speed Forecasting Based on Local Gaussian Process
摘要
Abstract
Wind speed forecasting is very important to the operation of wind power plants and power system.A short-term wind speed forecasting method based on local Gaussian process model is proposed.Firstly,the training sample set is divided into many sub training set according to the fixed length of time window.Secondly,the local Gaussian process model is used to forecast the wind speed of each sub training set.By minimizing prediction error of the training set as the optimization goal,the improved PSO algorithm is used to optimize the hyper parameters.The prediction results show that the proposed method can improve the prediction accuracy.关键词
风速预测/短期/局部高斯过程/改进粒子群算法Key words
wind speed forecasting/short-term/local Gaussian process/improved PSO algorithm分类
信息技术与安全科学引用本文复制引用
常纯,李德胜..基于局部高斯过程的短期风速预测[J].计算机与现代化,2017,(1):13-16,22,5.基金项目
安徽省自然科学基金资助项目(1308085QF103) （1308085QF103）
安徽省教育厅自然科学基金资助项目(KJ2013B073) （KJ2013B073）
