Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/11461
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dc.contributor.authorPisica, I-
dc.contributor.authorAxon, CJ-
dc.contributor.authorHobson, PR-
dc.contributor.authorTaylor, GA-
dc.contributor.authorWallom, DCH-
dc.date.accessioned2015-10-09T13:21:02Z-
dc.date.available2015-01-01-
dc.date.available2015-10-09T13:21:02Z-
dc.date.issued2014-
dc.identifier.citationIEEE PES Innovative Smart Grid Technologies Conference Europe, Istanbul, (12-15 Oct. 2014)en_US
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7028954-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/11461-
dc.description.abstractThis paper describes the framework for modelling a multi-agent approach for assessing dynamic pricing of electricity and demand response. It combines and agent-based model with decision-making data, and a standard load-flow model. The multi-agent model described here represents a tool in investigating not only the relation between different dynamic tariffs and consumer load profiles, but also the change in behaviour and impact on low-voltage electricity distribution networks.en_US
dc.description.sponsorshipThe authors acknowledge the contribution of the EPSRC Transforming Energy Demand Through Digital Innovation Programme, grant agreement numbers EP/I000194/1 and EP/I000119/1, to the ADEPT project.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectAgent based modellingen_US
dc.subjectElectricity tariffsen_US
dc.subjectTime of use tariffsen_US
dc.titleA multi-agent model for assessing electricity tariffsen_US
dc.typeConference Paperen_US
dc.identifier.doihttp://dx.doi.org/10.1109/ISGTEurope.2014.7028954-
dc.relation.isPartOfIEEE PES Innovative Smart Grid Technologies Conference Europe-
pubs.issueJanuary-
pubs.publication-statusPublished-
pubs.publication-statusPublished-
pubs.volume2015-January-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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