Title :
Knowledge-based intelligent energy management using building automation system
Author :
Wicaksono, Hendro ; Rogalski, Sven ; Kusnady, Enrico
Author_Institution :
Intell. Syst. & Production Eng./ Process & Data Manage. in Eng., FZI Res. Center for Inf. Technol., Karlsruhe, Germany
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.
Keywords :
building management systems; energy management systems; knowledge based systems; building automation system; energy consumption; energy prices; energy resources; energy saving potentials; knowledge-based intelligent energy management; Automation; Buildings; Data mining; Energy consumption; Home appliances; Knowledge based systems; Ontologies; building automation system; data mining; energy management; knowledge based system; ontologies;
Conference_Titel :
IPEC, 2010 Conference Proceedings
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7399-1
DOI :
10.1109/IPECON.2010.5696994