Short term load forecasting in the industry for establishing consumption baselines: A French case

Abstract : The estimation of baseline electricity consumption for the implementation of energy efficiency and load management measures is an essential issue. In this study, two different forecasting methods for determining a consumption baseline are implemented and assessed: A first method based on Self-organizing Maps and a second one based on Principal Component Analysis. Both methods were applied to a set of data from an industrial site in France in order to evaluate their performance. For this evaluation, two specific criteria are proposed. Results show a good performance of both methods, but a better performance of the Self-organizing Maps based method. Perspectives for improving the performance of both methods through different adjustment factors are encouraging and contemplated for future works.
Type de document :
Communication dans un congrès
WIPFOR 2013 "Workshop on Industry & Practices for Forecasting", Jun 2013, Paris, France
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https://hal-emse.ccsd.cnrs.fr/emse-00849418
Contributeur : Florent Breuil <>
Soumis le : mercredi 31 juillet 2013 - 07:16:35
Dernière modification le : mardi 6 mars 2018 - 15:57:30

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  • HAL Id : emse-00849418, version 1

Citation

José Blancarte, Mireille Batton-Hubert, Anne Grau. Short term load forecasting in the industry for establishing consumption baselines: A French case. WIPFOR 2013 "Workshop on Industry & Practices for Forecasting", Jun 2013, Paris, France. 〈emse-00849418〉

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