Title :
Data Acquisition and Sharing for a Distributed Intelligent DSM System
Author :
Andria, Gregorio ; Lecce, Vincenzo Di
Author_Institution :
Politecnico di Bari, Taranto
Abstract :
Artificial intelligence has devised solutions for a wide class of scheduling problems that can be applied also to power management and in general to building-automation. This paper presents one of these methods, based on the multi agent system (MAS) paradigm for a demand-side management system.
Keywords :
data acquisition; demand side management; multi-agent systems; power engineering computing; power system management; MAS; artificial intelligence; building-automation; data acquisition; demand-side management system; distributed intelligent DSM system; multi agent system; power management; scheduling problems; Artificial intelligence; Control systems; Current measurement; Data acquisition; Electrical equipment industry; Energy consumption; Energy management; Intelligent systems; Load management; Power system management;
Conference_Titel :
Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE
Conference_Location :
Warsaw
Print_ISBN :
1-4244-0588-2
DOI :
10.1109/IMTC.2007.379120
