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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wicaksono, H. Rogalski, S. Kusnady, E. |
| Copyright Year | 2010 |
| Description | Author affiliation: Intelligent Systems and Production Engineering, FZI Research Center for Information Technologies, Haid-und-Neu-Str. 10-14, 76131 Karlsruhe, Germany (Wicaksono, H.; Rogalski, S.; Kusnady, E.) |
| Abstract | The rise of energy needs and energy prices due to shortage of energy resources force companies and households to consume energy more efficiently. In recent years building automation systems are commonly used to allow better comfort for the occupants, and also to improve security in the building. This paper describes an approach for improving energy efficiency in private and business buildings by utilizing building automation systems. The goal of the approach is to provide an intelligent system that can help the occupants to monitor and control their energy consumption and also to notice their energy saving potentials. This paper also introduces method of knowledge-driven energy analysis that offers more intelligent mechanism as improvement of classical data-driven analysis, which is commonly used by existing energy analysis solutions. |
| Starting Page | 1140 |
| Ending Page | 1145 |
| File Size | 1698338 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424473991 |
| ISSN | 19471270 |
| e-ISBN | 9781424473984 |
| DOI | 10.1109/IPECON.2010.5696994 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-27 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Home appliances Energy consumption Automation Buildings Knowledge based systems data mining building automation system Ontologies energy management Data mining ontologies knowledge based system |
| Content Type | Text |
| Resource Type | Article |
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