Day-ahead Electricity Price Prediction Based on Multiple ELM

摘要：

Aiming at the characters of day-ahead electricity price, an electricity price prediction model is established by combining the intelligent modeling methods. A new neural network method ELM is selected for its better performance to establish the basic day-ahead electricity price prediction model. Using the information fusion and ensemble ideas, a multiple ELM modeling approach is proposed to establish the prediction model. The day-ahead electricity price prediction model is tested by the real data. The experiments demonstrate that the new prediction model established by the new method has better performance.

关键词： ELM electricity market electricity price prediction neural network

作者: Huixin Tian Bo Meng ShuZhou Wang

作者单位: School of Electrical Engineering and Automation, Tianjin Polytechnic University, Tianjin, 300160

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 241-244

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）