Full Library
RetroLite: An artificial intelligence tool for lighting energy-efficiency upgrade
Resource type
Journal Article
Authors/contributors
- Guo, Bo (Author)
- Belcher, Clay (Author)
- Roddis, W. M. Kim (Author)
Title
RetroLite: An artificial intelligence tool for lighting energy-efficiency upgrade
Abstract
A prototype software tool integrating knowledge-base and database approaches is developed to solve lighting-retrofit problems for energy conservation and management purposes. Founded on the types of problems and the conceptual differences between conventional programming and knowledge-based expert systems, it is felt that a system which combines both approaches is best for solving lighting-retrofit problems. The architecture of the system is built on the concept of knowledge-based expert systems and its links to a database. A commercially available knowledge-engineering tool and a dBase III-compatible complier are used for system development. Improvements necessary to upgrade the current research system into a deliverable tool are suggested.
Publication
Energy and Buildings
Volume
20
Issue
2
Pages
115-120
Date
1993-01-01
Journal Abbr
Energy and Buildings
ISSN
0378-7788
Short Title
RetroLite
Accessed
12/02/2024, 21:31
Library Catalogue
ScienceDirect
Call Number
openalex:W1995733115
Extra
openalex: W1995733115
Citation
Guo, B., Belcher, C., & Roddis, W. M. K. (1993). RetroLite: An artificial intelligence tool for lighting energy-efficiency upgrade. Energy and Buildings, 20(2), 115–120. https://doi.org/10.1016/0378-7788(93)90002-C
Theme
Link to this record