电测与仪表2016，Vol.53Issue(12)：87-91,5.
基于有效度遴选和纵横交叉算法的负荷组合预测
A load combination forecasting model based on effective measure selection and crisscross optimization algorithm
摘要
Abstract
There are many uncertain factors in electric power system load , a load combination forecasting model based on effective measure selection and crisscross optimization algorithm is proposed in this paper .In view of the problem of the low prediction of single model , wavelet packet transformation is utilized to divide the original load curve into sub -sequences with different frequencies .On this basis, BP neural network , error feedback weighted time sequence and grey model are combined to form a new prediction model , whose weight of every individual modal is optimized by crisscross optimization algorithm (CSO).Finally, the short-term load forecasting with continuous seven days is imple-mented on certain district power grid in Guangdong .The results prove that the proposed model is apparently superior over other models like single prediction modal , equal weight prediction modal as well as the inverse variance predic-tion model in terms of prediction accuracy .关键词
纵横交叉算法/有效度/小波包变换/负荷组合预测Key words
crisscross optimization algorithm/effective measure/wavelet packet transform/load combination forecas-ting分类
信息技术与安全科学引用本文复制引用
李海亮,曹彦朝,孟安波,卢海明,郭壮志..基于有效度遴选和纵横交叉算法的负荷组合预测[J].电测与仪表,2016,53(12):87-91,5.基金项目
广东省自然科学基金（博士启动）项目（2013040013776）；广东省电网公司科技项目 （）
