DocumentCode :
581099
Title :
Enterprise energy management using a linked dataspace for Energy Intelligence
Author :
Curry, Edward ; Hasan, Souleiman ; O´Riain, Sean
Author_Institution :
Digital Enterprise Res. Inst., Nat. Univ. of Ireland, Galway, Ireland
fYear :
2012
fDate :
4-5 Oct. 2012
Firstpage :
1
Lastpage :
6
Abstract :
Energy Intelligence platforms can help organizations manage power consumption more efficiently by providing a functional view of the entire organization so that the energy consumption of business activities can be understood, changed, and reinvented to better support sustainable practices. Significant technical challenges exist in terms of information management, cross-domain data integration, leveraging real-time data, and assisting users to interpret the information to optimize energy usage. This paper presents an architectural approach to overcome these challenges using a Dataspace, Linked Data, and Complex Event Processing. The paper describes the fundamentals of the approach and demonstrates it within an Enterprise Energy Observatory.
Keywords :
energy consumption; energy management systems; Enterprise Energy Observatory; business activities; complex event processing; cross-domain data integration; energy consumption; energy intelligence platforms; energy usage; enterprise energy management; information management; linked dataspace; power consumption; real-time data; sustainable practices; Energy consumption; Energy management; Observatories; Organizations; Real-time systems; Resource description framework; Complex Event Processing; Dataspace; Energy Intelligence; Energy Management; Linked Data; Semantic Sensor Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Internet and ICT for Sustainability (SustainIT), 2012
Conference_Location :
Pisa
Print_ISBN :
978-1-4673-2031-3
Type :
conf
Filename :
6388012
Link To Document :
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