Price Forecasting in the Spanish Day-Ahead Electricity Market Using Preconditioned Wind Power Information

被引:0
作者
Geidel, C. [1 ]
Zareipour, H. [2 ]
机构
[1] Tech Univ Berlin, Dept Elect Engn & Comp Sci, Berlin, Germany
[2] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB T2N 1N4, Canada
来源
2013 12TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2013), VOL 2 | 2013年
关键词
Price forecasting; residual demand; wind power;
D O I
10.1109/ICMLA.2013.124
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, short-term electricity price forecasting using residual demand under predefined wind power generation conditions is performed. Residual demand is defined as the total electricity demand subtracted by hard to predict renewable energy sources. Focus of this paper lies on wind power generation as the main renewable energy source. First, the long-term influence of wind power on the electricity market price is investigated. Second, the short-term dependency between electricity market price and wind power generation is examined by applying the similar day method to the Spanish day-ahead market as well as data association mining. Third, a novel method of how to use wind power information is introduced.
引用
收藏
页码:203 / 210
页数:8
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