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Effectiveness and comparison of artificial neural network architectures in the prediction of electrical loads in supermarkets.

Author(s) : CHAN K. Y., DATTA D., TASSOU S. A.

Summary

The paper discusses an ongoing project involving the application of artificial neural networks for the prediction of the energy demands of a large supermarket and its refrigeration system. Electrical demands, refrigeration parameters and weather data collected over a whole year were used for training, validation and testing of a multi-layered perceptron network (MLP). The MLP network was found to perform reasonably well.

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Details

  • Original title: Effectiveness and comparison of artificial neural network architectures in the prediction of electrical loads in supermarkets.
  • Record ID : 2000-1392
  • Languages: English
  • Source: 20th International Congress of Refrigeration: Refrigeration into the Third Millennium.
  • Publication date: 1999/09/19

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