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dc.contributor.authorRathnayaka, Dinusha
dc.contributor.authorPotdar, Vidyasagar
dc.contributor.authorHussain, Omar
dc.contributor.authorDillon, Tharam
dc.contributor.editorRajkumar Buyya
dc.contributor.editorCheng-Zhong Xu
dc.identifier.citationRathnayaka, A.J. Dinusha and Potdar, Vidyasagar M. and Hussain, Omar and Dillon, Tharam. 2011. Identifying prosumer’s energy sharing behaviours for forming optimal prosumer-communities, in IEEE International Conference on Cloud and Service Computing (CSC), Dec 12-14 2011. Hong Kong, China: IEEE.

Smart Grid (SG) achieves bidirectional energy and information flow between the energy user and the utility grid, allowing energy users not only to consume energy, but also to generate the energy and share with the utility grid or with other energy consumers. This type of energy user who consumes energy and who also can generate the energy is called the “prosumer”. The sustainability of the SG energy sharing process heavily depends on its participating prosumers, making prosumer participation and management schemes crucial within the energy sharing approaches. The contribution of this article is twofold. First, this article introduces a novel concept of participating and managing the prosumers in the SG energy sharing process in the form of virtual communities, which involves with computation, software, data access, and storage services that do not need end-prosumer knowledge of the physical location and system configuration. Here, the community of prosumers can collectively increase the amount of power to be auctioned or bought offering higher bargaining power, thereby settling for a higher price per kilowatt in long-term. The initial step to build an effective prosumer-community is the identification of those prosumers who would be suitable to make efficient prosumer communities. This leads the necessity of identifying parameters that influence the energy sharing behaviours of prosumers. The second contribution of this article is that, this comprehensively analyses the different parameters influencing the prosumer’s energy sharing behaviours and thus presents multi-agent architecture for optimal prosumer-community formation.

dc.publisherIEEE Computer Society
dc.subjectmulti agent system
dc.subjectsmart grid
dc.subjectenergy behaviour
dc.subjectenergy sharing
dc.titleIdentifying prosumer’s energy sharing behaviours for forming optimal prosumer-communities
dc.typeConference Paper
dcterms.source.titleProceedings of the IEEE international conference on cloud and service computing (CSC 2011)
dcterms.source.seriesProceedings of the IEEE international conference on cloud and service computing (CSC 2011)
dcterms.source.conferenceIEEE International Conference on Cloud and Service Computing (CSC 2011)
dcterms.source.conference-start-dateDec 12 2011
dcterms.source.conferencelocationHong Kong, China

Copyright © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusOpen access

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