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Detecting whole building energy problems.

Author(s) : DODIER R. H., KREIDER J. F.

Summary

A new, statistically rigorous method was recently developed for whole building, energy-based problem detection. In this new approach, neural networks are organized into a higher-level model called a belief network, which can be viewed as a probabilistic data-base containing what is known about a system. The whole-building energy module described in the paper is one module of a larger system for whole building diagnostics. The paper reports on the new approach, the algorithms used, and a test of the software on a data set recorded in a commercial building.

Details

  • Original title: Detecting whole building energy problems.
  • Record ID : 2000-2079
  • Languages: English
  • Source: ASHRAE Transactions. 1999 Winter Meeting, Chicago, Illinois + CD-ROM.
  • Publication date: 1999
  • Document available for consultation in the library of the IIR headquarters only.

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