Context-awareness and the smart grid : Requirements and challenges

Donohoe, Michael and Jennings, Brendan and Balasubramaniam, Sasitharan (2015) Context-awareness and the smart grid : Requirements and challenges. Computer Networks, 79. pp. 263-282. ISSN 1389-1286

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New intelligent power grids (smart grids) will be an essential way of improving efficiency in power supply and power consumption, facilitating the use of distributed and renewable resources on the supply side and providing consumers with a range of tailored services on the consumption side. The delivery of efficiencies and advanced services in a smart grid will require both a comprehensive overlay communications network and flexible software platforms that can process data from a variety of sources, especially electronic sensor networks. Parallel developments in autonomic systems, pervasive computing and context-awareness (relating in particular to data fusion, context modelling, and semantic data) could provide key elements in the development of scalable smart grid data management systems and applications that utilise a multi-technology communications network. This paper describes: (1) the communications and data management requirements of the emerging smart grid, (2) state-of-the-art techniques and systems for context-awareness and (3) a future direction towards devising a context-aware middleware platform for the smart grid, as well as associated requirements and challenges.

Item Type: Article
Additional Information: Funding Information: This work has been partly funded by Science Foundation Ireland via the “FAME” Strategic Research Cluster, Grant No. 08/SRC/I1403 and via the “A Biologically Inspired Framework Supporting Network Management for the Future Internet” starting investigator award, Grant No. 09/SIRG/I1643 . It was also partly funded by the Irish Higher Education Authority under the Programme for Research in Third Level Institutions (PRTLI) cycle 5, which is co-funded by the European Regional Development Fund (ERDF), via the Telecommunications Graduate Initiative. Publisher Copyright: © 2015 Elsevier B.V.
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1700/1705
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Date Deposited: 19 Oct 2022 23:11
Last Modified: 07 Jun 2023 18:46

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