=Paper= {{Paper |id=None |storemode=property |title=None |pdfUrl=https://ceur-ws.org/Vol-907/AI4IE_paper4_abstract.pdf |volume=Vol-907 }} ==None== https://ceur-ws.org/Vol-907/AI4IE_paper4_abstract.pdf
A Collaborative Model for Participatory Load Management in the
Smart Grid
Matteo Vasirani and Sascha Ossowski

Abstract. The major task of a grid operator is perfectly balancing the demand of all cus-
tomers at any instant with supply. One of the facets of the Smart Grid vision is tackling
the problem of balancing demand with supply using strategies that act on the demand side.
With the deployment of intelligent ICT devices in domestic environments, homes are becoming
smarter and able to optimise the electricity consumption to minimise costs and/or meet supply
constraints. In this work, we envision a scenario where smart homes actively participate in
the balancing of demand with supply by forming groups of electricity consumers that agree
on a joint demand profile to be contracted with a retail electricity provider. We put forward
a novel business model as well as an optimisation model for collaborative load management,
showing the economic benefits for the participants.


Please note. This paper has not been included into the workshop proceedings due to copy-
right issues. It has been published in the proceedings for the 1st International Conference on
Agreement Technologies, held October 15-16, 2012 in Dubrovnik, Croatia.




Workshop on AI Problems and Approaches for Intelligent Environments (AI@IE 2012)           21