Bayesian Network for Future Home Energy Consumption

  • Authors:

  • Atsushi Takahashi;Shingo Aoki;Hiroshi Tsuji;Shuki Inoue

  • Affiliations:

  • Graduate School of Engineering, Osaka Prefecture University, Osaka, Japan 599-8531;Graduate School of Engineering, Osaka Prefecture University, Osaka, Japan 599-8531;Graduate School of Engineering, Osaka Prefecture University, Osaka, Japan 599-8531;Department of Energy Use R&D Center, The Kansai Electric Power Co., inc., Hyogo, Japan 661-0974

  • Venue:
  • KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
  • Year:
  • 2008

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Abstract

In order to measure purchase preference on future electronic equipments, this paper proposes a method using Bayesian Network that considers causal relationships for questionnaire data. The proposed method is based on three layers network where the causal relationship is sequentially chained by personal attributes, senses of value and future services. Then, there is a problem that the probability value sensitivity becomes fewness when a model becomes complicated even if the evidence for same nodes is assigned. To overcome this problem and to perform probabilistic inference, this paper proposes stepwise assignment for a variety of evidence. As a result, the purchase preference such as "persons who make much of safety prefer products for an inventory management in their house" is found.