Share

Great Energy Predictor Shootout II (GEPS): modeling energy use in large commercial buildings.

Author(s) : KATIPAMULA S.

Summary

The 1994 GEPS, sponsored by ASHRAE Technical Committees TC 4.7, Energy Calculations and TC 1.5, Computer Applications, involved modeling-predicting heating, cooling, and electric energy consumption in two large institutional buildings in central Texas (an engineering center and a business school building). This paper describes the methodology used by one of the winning GEPS entries. Multiple linear regression models and nonlinear modeling approaches, such as artifical neural network models, tend to provide better modeling capabilities than simple linear regression modeling approaches. At the engineering center, the coefficient of variation for electric energy end-uses varied from 1 to 6% while the coefficient of variation for cooling energy consumption and heating energy consumption varied from 10 to 33%. At the business school building, the coefficient of variation for electric energy end-use varied from 5 to 14%, while the coefficient of variation for energy consumption and heating energy consumption varied from 27 to 36%.

Details

  • Original title: Great Energy Predictor Shootout II (GEPS): modeling energy use in large commercial buildings.
  • Record ID : 1997-2450
  • Languages: English
  • Source: ASHRAE Transactions.
  • Publication date: 1996/06/23
  • Document available for consultation in the library of the IIR headquarters only.

Links


See other articles from the proceedings (42)
See the conference proceedings

Indexing