可再生能源2018，Vol.36Issue(1)：85-90,6.
基于MRMR的ORELM的短期风速预测
Short-term wind speed forecasting of ORELM based on MRMR
摘要
Abstract
Because of the characteristics of intermittence,randomness and fluctuation,the large-scale wind power integration has important influence on the security and stable operation of power system.This paper puts forward a new method of short-term wind speed prediction of outlier robust extreme learning machine(Outlier Robust Extreme Learning Machine,ORELM)based on maximum correlation and minimum redundancy (Maximum Correlation Minimum Redundancy,MRMR)algorithm.Firstly,the attributes of wind speed are analyzed,and the MRMR algorithm is used to measure the correlation between the characteristics of different wind speed attributes and wind speed.And the input dimension of wind speed attributes is determined.Then,the extreme learning machine (Extreme Learning Machine,ELM)is optimized,and the ORELM wind speed prediction model is constructed.Finally,the wind speed prediction is carried out based on the measured data of a large wind farm in Northeast China.The simulation results show that the proposed method has higher prediction accuracy.关键词
风速/短期预测/MRMR/ORELMKey words
wind speed/short-term forecasting/MRMR/ORELM分类
能源科技引用本文复制引用
王琦,关添升,秦本双..基于MRMR的ORELM的短期风速预测[J].可再生能源,2018,36(1):85-90,6.基金项目
国家高技术研究发展计划"863"资助项目(SS2014AA052502) （SS2014AA052502）
国家自然科学基金资助项目(51507027). （51507027）
