Situation-aware demand response in the smart grid

Magoutas, B; Apostolou, D; Mentzas, G

dc.contributor.author	Magoutas, B	en
dc.contributor.author	Apostolou, D	en
dc.contributor.author	Mentzas, G	en
dc.date.accessioned	2014-03-01T02:53:28Z
dc.date.available	2014-03-01T02:53:28Z
dc.date.issued	2011	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36345
dc.subject	Context-aware services	en
dc.subject	Smart grids	en
dc.subject	Web Services	en
dc.subject.other	Consumption patterns	en
dc.subject.other	Context aware services	en
dc.subject.other	Demand response	en
dc.subject.other	End customers	en
dc.subject.other	Energy monitoring	en
dc.subject.other	Event-based	en
dc.subject.other	Fine-grained power	en
dc.subject.other	Information technology systems	en
dc.subject.other	Research fields	en
dc.subject.other	Situation management	en
dc.subject.other	Situation-aware	en
dc.subject.other	Smart grid	en
dc.subject.other	Web technologies	en
dc.subject.other	Decision support systems	en
dc.subject.other	Information services	en
dc.subject.other	Information technology	en
dc.subject.other	Intelligent systems	en
dc.subject.other	Power transmission	en
dc.subject.other	Software architecture	en
dc.subject.other	Web services	en
dc.subject.other	Smart power grids	en
dc.title	Situation-aware demand response in the smart grid	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISAP.2011.6082176	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISAP.2011.6082176	en
heal.identifier.secondary	6082176	en
heal.publicationDate	2011	en
heal.abstract	The vision of the smart grid can provide the catalyst for radical progress when combined with information technology systems that have the ability to collect fine grained power usage data and translated them into input for decision support systems, which may in turn make energy monitoring and conservation a seamless extension of Web technology. An important element of the smart grid is Demand Response (DR) which includes all modifications to the consumption patterns of end customers be they price-induced or incentive-based. In this paper we argue that the research field of situation management provides appropriate methods for identifying and predicting DR situations, reasoning on their status, and taking the necessary actions. We outline an intelligent situation management approach and present an event-based software architecture for supporting these aspects of the smart grid. © 2011 IEEE.	en
heal.journalName	2011 16th International Conference on Intelligent System Applications to Power Systems, ISAP 2011	en
dc.identifier.doi	10.1109/ISAP.2011.6082176	en