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

Author(s) : KAJL S., ROBERGE M. A., LAMARCHE L., MALINOWSKI P.

Summary

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.

Details

  • Original title: Evaluation of building energy consumption based on fuzzy logic and neural networks applications.
  • Record ID : 1999-3757
  • Languages: English
  • Source: CLIMA 2000, Brussels 1997, August 30 to September 2, Congress Palace.
  • Publication date: 1997/08
  • Document available for consultation in the library of the IIR headquarters only.

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