摘要
文章选取江苏省年用电量数据,提出了一个灰色系统理论与BP神经网络相结合的用电量预测方法。结果表明,该方法在用电量预测上精度较高,并且计算方便,可供有关部门参考。
Based on the annual electricity consumption data of Jiangsu Province, a power consumption forecasting method combining gray system theory and BP neural network was proposed in this paper. The results show that the method has higher accuracy in power consumption forecasting and is convenient to calculate, which can be used for reference by relevant departments.
作者
章熙
郭翔
万会江
吴佩泽
陈鹏
陈佳捷
Zhang Xi;Guo Xiang;Wan Huijiang;Wu Peize;Chen Peng;Chen Jiajie(Power Dispatching and Control Center of Guizhou Power Grid Co.,Ltd.,Guiyang 550002,China;China Southern Power Grid Digital Power Grid Research Institute Co.,Ltd.,Guangzhou 511458,China)
出处
《无线互联科技》
2019年第17期114-116,共3页
Wireless Internet Technology
关键词
用电量预测
反向传播神经网络
灰色关联分析
electricity consumption prediction
back propagation neural network
grey relational analysis