Share

Effect of time resolution on statistical modelling of cooling energy use in large commercial buildings.

Author(s) : KATIPAMULA S., REDDY T. A., CLARIDGE D. E.

Summary

Regression models of measured energy use in commercial buildings are becoming an increasingly popular method of determining retrofit savings or identifying operational and maintenance problems. When hourly monitored data are available, an issue that arises is what time resolution to adopt for regression models to be most accurate. The paper addresses this question by comparing monthly, daily, hourly, and individual hourly or hour-of-day multiple linear regression models when applied to measured cooling energy consumption in commercial buildings.

Details

  • Original title: Effect of time resolution on statistical modelling of cooling energy use in large commercial buildings.
  • Record ID : 1996-3675
  • Languages: English
  • Source: ASHRAE Transactions.
  • Publication date: 1995/06/24
  • Document available for consultation in the library of the IIR headquarters only.

Links


See other articles from the proceedings (79)
See the conference proceedings

Indexing