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

José Blancarte 1 Mireille Batton-Hubert 2, 3 Anne Grau 1
1 EDF R&D - EDF R&D
2 DEMO-ENSMSE - Département Décision en Entreprise : Modélisation, Optimisation
3 LIMOS - Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes
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.
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Conference papers
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https://hal-emse.ccsd.cnrs.fr/emse-00849418
Contributor : Florent Breuil <>
Submitted on : Wednesday, July 31, 2013 - 7:16:35 AM
Last modification on : Thursday, October 17, 2019 - 12:36:12 PM

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  • HAL Id : emse-00849418, version 1

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EMSE | DEMO-ENSMSE | FAYOL-ENSMSE | CNRS | LIMOS | PRES_CLERMONT | TDS-MACS | INSTITUT-TELECOM | SIGMA-CLERMONT | EDF

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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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