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Application of neural networks for the prediction of the energy consumption in a supermarket.

Author(s) : DATTA D., TASSOU S. A., MARRIOTT D.

Summary

This work is directed towards the identification of the important inputs (independent variables) to facilitate on-line prediction and thereby implement refrigeration and HVAC system diagnostics, process control, optimisation and energy management in retail food stores. The paper presents preliminary results on the prediction of electricity consumption with different independent input variables in a supermarket. The paper also compares the prediction performance of neural networks with the more traditional multiple regression techniques.

Details

  • Original title: Application of neural networks for the prediction of the energy consumption in a supermarket.
  • Record ID : 1999-3831
  • 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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