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A refined parametric model for short term load forecasting

Singleton, C. and Charlton, N. (2014) A refined parametric model for short term load forecasting. International Journal of Forecasting, 30 (2). 364 - 368. ISSN 0169-2070

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To link to this item DOI: 10.1016/j.ijforecast.2013.07.003

Abstract/Summary

Abstract We present a refined parametric model for forecasting electricity demand which performed particularly well in the recent Global Energy Forecasting Competition (GEFCom 2012). We begin by motivating and presenting a simple parametric model, treating the electricity demand as a function of the temperature and day of the data. We then set out a series of refinements of the model, explaining the rationale for each, and using the competition scores to demonstrate that each successive refinement step increases the accuracy of the model’s predictions. These refinements include combining models from multiple weather stations, removing outliers from the historical data, and special treatments of public holidays.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics
Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics > Centre for the Mathematics of Human Behaviour (CMOHB)
ID Code:37972
Uncontrolled Keywords:Demand forecasting
Publisher:Elsevier

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