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An expert system for predicting gas demand: A case study

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  • Ashouri, F

Abstract

This paper is a case study of an expert system built by the Operational Research Section at British Gas South Eastern, to predict the demand for gas for the next day. The paper discusses in detail all the steps which were taken by the knowledge engineer in building the system, with particular emphasis on the knowledge acquisition techniques used. The paper also discusses how the system's performance was compared both with the human expert's performance, and the actual values for demand for gas. Finally the paper examines the future development of the system.

Suggested Citation

  • Ashouri, F, 1993. "An expert system for predicting gas demand: A case study," Omega, Elsevier, vol. 21(3), pages 307-317, May.
    • Handle: RePEc:eee:jomega:v:21:y:1993:i:3:p:307-317
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    Cited by:

    1. Oosterlinck, Dieter & Benoit, Dries F. & Baecke, Philippe, 2020. "From one-class to two-class classification by incorporating expert knowledge: Novelty detection in human behaviour," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1011-1024.

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