Issue: 2008/Vol.18/No.4, Pages 19-28
APPLICATION OF REGRESSION TREES IN THE ANALYSIS OF ELECTRICITY LOAD
Barbara Gładysz
, Dorota Kuchta
Cite as: B. Gładysz, D. Kuchta. Application of regression trees in the analysis of electricity load. Operations Research and Decisions 2008: 18(4), 19-28.
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.
Keywords: data mining, classification and regression tree, electricity load, weather
Received: Accepted: