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Evaluation de la consommation d'énergie d'un immeuble basée sur une logique floue et des utilisations de réseaux neuronaux.

Evaluation of building energy consumption based on fuzzy logic and neural networks applications.

Auteurs : KAJL S., ROBERGE M. A., LAMARCHE L., MALINOWSKI P.

Résumé

The authors have created a Neural-Fuzzy Assistant which acts as a Decision Support System and helps to perform quickly and easily the estimations of office building energy consumption. The Neural-Fuzzy Assistant presented in the paper allows the user to determine the impact of eleven building parameters on the electrical annual and monthly energy consumption, annual and monthly maximum electrical demand and cooling and heating annual consumption and demand. The neural networks training and testing data set and fuzzy rules used by the system are based on the simulation results of numerous office buildings.

Détails

  • Titre original : Evaluation of building energy consumption based on fuzzy logic and neural networks applications.
  • Identifiant de la fiche : 1999-3757
  • Langues : Anglais
  • Source : CLIMA 2000, Brussels 1997, August 30 to September 2, Congress Palace.
  • Date d'édition : 08/1997
  • Document disponible en consultation à la bibliothèque du siège de l'IIF uniquement.

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