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Application of regression trees in the analysis of electricity load

Author

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  • Barbara Gładysz
  • Dorota Kuchta

Abstract

In the paper electricity load analysis was performed for a power region in Poland. Identifying the factors that influence the electricity demand and determining the nature of the influence is a crucial element of an effective energy management. In order to analyse the electricity load level the CART (Classification and Regression Tree) method has been used. The data for the analysis are hourly observations of the electricity load and weather throughout one year period. Two categories of factors were taken as predictor variables, on which the demand for the electricity load depends: variables describing weather and variables representing structure days in a year. An analysis of the errors of the presented models was carried out.

Suggested Citation

  • Barbara Gładysz & Dorota Kuchta, 2008. "Application of regression trees in the analysis of electricity load," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 18(4), pages 19-28.
    • Handle: RePEc:wut:journl:v:4:y:2008:p:19-28
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    Cited by:

    1. Carlo Lucheroni, 2012. "A hybrid SETARX model for spikes in tight electricity markets," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 22(1), pages 13-49.

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