DocumentCode :
707792
Title :
Contextual and environmental awareness laboratory for energy consumption management
Author :
Gomes, Luis ; Fernandes, Filipe ; Faria, Pedro ; Silva, Marco ; Vale, Zita ; Ramos, Carlos
Author_Institution :
GECAD - Knowledge Eng. & Decision Support Res. Center, Polytech. of Porto (IPP), Porto, Portugal
fYear :
2015
fDate :
10-13 March 2015
Firstpage :
1
Lastpage :
6
Abstract :
The recent changes on power systems paradigm requires the active participation of small and medium players in energy management. With an electricity price fluctuation these players must manage the consumption. Lowering costs and ensuring adequate user comfort levels. Demand response can improve the power system management and bring benefits for the small and medium players. The work presented in this paper, which is developed aiming the smart grid context, can also be used in the current power system paradigm. The proposed system is the combination of several fields of research, namely multi-agent systems and artificial neural networks. This system is physically implemented in our laboratories and it is used daily by researchers. The physical implementation gives the system an improvement in the proof of concept, distancing itself from the conventional systems. This paper presents a case study illustrating the simulation of real-time pricing in a laboratory.
Keywords :
multi-agent systems; neural nets; power consumption; power system management; smart power grids; artificial neural networks; contextual awareness laboratory; demand response; electricity price fluctuation; energy consumption management; environmental awareness laboratory; multiagent systems; power system management; real-time pricing; smart grid context; Artificial neural networks; Buildings; Hardware; Optimization; Smart grids; Sockets; Switches; Consumer Awareness; Contextual Load Optimization; Load Management; Real-Time Price;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Conference (PSC), 2015 Clemson University
Conference_Location :
Clemson, SC
Type :
conf
DOI :
10.1109/PSC.2015.7101678
Filename :
7101678
Link To Document :
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