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Frontiers in Energy >> 2016, Volume 10, Issue 1 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
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Keywords
day-ahead electricity markets ; price forecasting ; load forecasting ; artificial neural networks ; load serving entities
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