Risk analysis in electricity markets by using decision trees

被引:0
作者
Mosquera, N. [1 ]
Reneses, J. [1 ]
Barquin, J. [1 ]
Sanchez-Ubeda, E. F. [1 ]
机构
[1] Univ Pontificia Comillas, Inst Invest Tecnol, Sch Engn, C Alberto Aguilera 23, Madrid 28015, Spain
来源
2006 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS, VOLS 1 AND 2 | 2006年
关键词
decision trees; electricity markets; gas options; market equilibrium; risk factors; risk management;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper describes a procedure for medium- and long-term risk analysis by using decision trees. A market equilibrium model is presented in order to assess the impact of the different sources of uncertainty. Decision trees are defined and applied in a study case, showing the advantages of these techniques for medium-term operation and planning. The paper analyzes different scenarios of five main risk factors: Hydro-inflows, fuel (coal and gas) costs, system demand, and CO2 emission price.
引用
收藏
页码:960 / 966
页数:7
相关论文
共 10 条
  • [1] Stochastic market equilibrium model for generation planning
    Barquín, J
    Centeno, E
    Reneses, J
    [J]. PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES, 2005, 19 (04) : 533 - 546
  • [2] Medium-term generation programming in competitive environments:: a new optimisation approach for market equilibrium computing
    Barquín, J
    Centeno, E
    Reneses, J
    [J]. IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 2004, 151 (01) : 119 - 126
  • [3] BATLLE C, 2002, P 7 INT C PROB METH
  • [4] BATLLE C, 2002, THESIS U PONTIFICIA
  • [5] Hull J.C., 1997, OPTIONS FUTURES OTHE, P572
  • [6] Quinlan J. R., 1986, Machine Learning, V1, P81, DOI 10.1007/BF00116251
  • [7] Learning decision tree classifiers
    Quinlan, JR
    [J]. ACM COMPUTING SURVEYS, 1996, 28 (01) : 71 - 72
  • [8] Sanchez-Ubeda E.F., 2001, P IEEE POW TECH C PO
  • [9] SANCHEZUBEDA EF, 1999, THESIS U PONTIFICIA
  • [10] Wehenkel L., 1997, AUTOMATIC LEARNING T