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Study on neural networks for a residential energy-consumption model.

[In Japanese. / En japonais.]

Author(s) : TANAKA A., KOMINE H., SEKI Y., et al.

Type of article: Article

Summary

The paper proposes a method to create a highly accurate energy-consumption model. The resultant model calculates one home's monthly energy consumption of electric power, kerosene, and city gas. The models produced are non-linear-multiple-regression models. The comparison showed that the proposed model predicts more precisely than the ordinary linear-multiple-regression ones. Moreover, the non-linear model clarified effective techniques for energy consumption research, such as those used for a data-mining tool and a simulation tool.

Details

  • Original title: [In Japanese. / En japonais.]
  • Record ID : 2006-3048
  • Languages: Japanese
  • Source: Transaction of the Society of Heating, Air-conditioning and Sanitary Engineers of Japan - vol. 111
  • Publication date: 2006/06

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