Estimation of Energy Savings for Building Retrofits Using Neural Networks

[+] Author and Article Information
M. Krarti, J. F. Kreider

Joint Center for Energy Management, University of Colorado, Boulder, CO 90309-0428

D. Cohen, P. Curtiss

Architectural Energy Corporation, 2540 Frontier Avenue, Boulder, CO 80301

J. Sol. Energy Eng 120(3), 211-216 (Aug 01, 1998) (6 pages) doi:10.1115/1.2888071 History: Received March 01, 1998; Revised May 01, 1998; Online February 14, 2008


This paper overviews some applications of neural networks (NNs) to estimate energy and demand savings from retrofits of commercial buildings. First, a brief background information on NNs is provided. Then, three specific case studies are described to illustrate how and when NNs can be used successfully to determine energy savings due to the implementation of various energy conservation measures in existing commercial buildings.

Copyright © 1998 by The American Society of Mechanical Engineers
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