AT-96-21-1 — Neural Networks Applied to Buildings – A Tutorial and Case Studies in Prediction and Adaptive Control

AT-96-21-1 — Neural Networks Applied to Buildings – A Tutorial and Case Studies in Prediction and Adaptive Control

Click here to purchase

Explains how neural networks (NNs) are constructed and the way they work. Describes a number of applications of NNs to residential and commercial building systems. Two energy prediction cases are presented and one commercial building demonstration is included. Anstett and Kreider (1993), Kreider and Wang (1991), and Wang and Kreider (1992) report on additional case studies.

KEYWORDS: year 1996, expert systems, case studies, domestic, commercial, buildings, calculating, energy consumption

Citation: Symposium Papers, Atlanta, GA, 1996

Product Details

Published:
1996
File Size:
1 file , 670 KB
Product Code(s):
D-17204
Back to Top