Web-based decision-support system methodology for smart provision of adaptive digital energy services over cloud technologies

Nikolopoulos, V; Mpardis, G; Giannoukos, I; Lykourentzou, I; Loumos, V

dc.contributor.author	Nikolopoulos, V	en
dc.contributor.author	Mpardis, G	en
dc.contributor.author	Giannoukos, I	en
dc.contributor.author	Lykourentzou, I	en
dc.contributor.author	Loumos, V	en
dc.date.accessioned	2014-03-01T01:37:33Z
dc.date.available	2014-03-01T01:37:33Z
dc.date.issued	2011	en
dc.identifier.issn	1751-8806	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21553
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.other	Agent based	en
dc.subject.other	Broadband connection	en
dc.subject.other	Computing software	en
dc.subject.other	End consumers	en
dc.subject.other	Energy information systems	en
dc.subject.other	Energy measurements	en
dc.subject.other	Energy profile	en
dc.subject.other	Energy services	en
dc.subject.other	Hypercube topology	en
dc.subject.other	Interoperable technologies	en
dc.subject.other	Knowledge system	en
dc.subject.other	Multi-tier	en
dc.subject.other	Parallel analysis	en
dc.subject.other	Sequential decision process	en
dc.subject.other	Software component	en
dc.subject.other	Cloud computing	en
dc.subject.other	Clustering algorithms	en
dc.subject.other	Decision support systems	en
dc.subject.other	Information management	en
dc.subject.other	Information services	en
dc.subject.other	Innovation	en
dc.subject.other	Middleware	en
dc.subject.other	Modems	en
dc.subject.other	Software agents	en
dc.subject.other	Interoperability	en
dc.title	Web-based decision-support system methodology for smart provision of adaptive digital energy services over cloud technologies	en
heal.type	journalArticle	en
heal.identifier.primary	10.1049/iet-sen.2010.0008	en
heal.identifier.secondary	http://dx.doi.org/10.1049/iet-sen.2010.0008	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	Energy information systems, which manage energy consumptions over internet, have been evolving over the past decade and can be considered as a part of a specialised sequential decision process, regarding the provision of personalised energy services to the community. The aim of this study is to develop and present an innovative decision-support system and cloud computing software methodology that brings together energy consultants, consumers, energy services procedures and modern web interoperable technologies. The authors propose a web-based knowledge system, using distributed cloud architecture and metering grids over ADSL broadband connections. By using some clustering algorithms and a web middleware, energy profiles over time are analysed and observed. The resulting clusters and centroids are projected and statistically analysed over time, producing a centroid-locus. Hypercube topology was used for efficient data management and software agent-based parallel analysis. The system operates efficiently on a multi-tier cloud-based middleware that generates in real-time using various service software components to the end consumers. The case study on real Greek energy measurements, for the first time in Greece, indicated a compact and efficient distributed procedure that could analyse and produce adaptive personalised information services. © 2011 The Institution of Engineering and Technology.	en
heal.publisher	INST ENGINEERING TECHNOLOGY-IET	en
heal.journalName	IET Software	en
dc.identifier.doi	10.1049/iet-sen.2010.0008	en
dc.identifier.isi	ISI:000295621700004	en
dc.identifier.volume	5	en
dc.identifier.issue	5	en
dc.identifier.spage	454	en
dc.identifier.epage	465	en