正文
《能源前沿(英文)》 >> 2016年 第10卷 第1期 doi: 10.1007/s11708-016-0393-y
Day-ahead electricity price forecasting using back propagation neural networks and weighted least square technique
1. Department of Railroad and Electrical Engineering, Woosong University, Daejeon 300718, Republic of Korea.2. Department of Railroad and Civil Engineering, Woosong University, Daejeon 300718, Republic of Korea.3. Korea Rail Network Authority, Daejeon 300718, Republic of Korea
摘要
关键词
day-ahead electricity markets ; price forecasting ; load forecasting ; artificial neural networks ; load serving entities
正文