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Economic Evaluation of Predictive Dispatch Model in MAS-Based Smart Home

2018Conference object Open access
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dc.contributor.authorGazafroudi, Amin Shokri
dc.contributor.authorPrieto-Castrillo, Francisco
dc.contributor.authorPinto, Tiago
dc.contributor.authorJozi, Aria
dc.contributor.authorVale, Zita
dc.date.accessioned2021-03-10T17:17:39Z
dc.date.available2021-03-10T17:17:39Z
dc.date.issued2018
dc.description.abstractThis paper proposes a Predictive Dispatch System (PDS) as part of a Multi-Agent system that models the Smart Home Electricity System (MASHES). The proposed PDS consists of a Decision-Making System (DMS) and a Prediction Engine (PE). The considered Smart Home Electricity System (SHES) consists of different agents, each with different tasks in the system. A Modified Stochastic Predicted Bands (MSPB) interval optimization method is used to model the uncertainty in the Home Energy Management (HEM) problem. Moreover, the proposed method to solve HEM problem is based on the Moving Window Algorithm (MWA). The performance of the proposed Home Energy Management System (HEMS) is evaluated using a JADE implementation of the MASHES.pt_PT
dc.description.sponsorshipThis work has been supported by the European Commission H2020 MSCA-RISE-2014: Marie Sklodowska-Curie project DREAM-GO Enabling Demand Response for short and real-time Efficient And Market Based Smart Grid Operation - An intelligent and real-time simulation approach ref. 641794. Moreover, the authors would like to thank Dr. Juan Manuel Corchado of University of Salamanca for his thoughtful suggestions and supports.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-319-61578-3_8pt_PT
dc.identifier.isbn978-3-319-61578-3
dc.identifier.issn2194-5357
dc.identifier.urihttp://hdl.handle.net/10400.22/17397
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.relationEnabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-319-61578-3_8pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectHome Energy Management Systempt_PT
dc.subjectMulti-agent systemspt_PT
dc.subjectPrediction enginept_PT
dc.subjectInterval optimizationpt_PT
dc.subjectDecision-making under uncertaintypt_PT
dc.titleEconomic Evaluation of Predictive Dispatch Model in MAS-Based Smart Homept_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleEnabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/641794/EU
oaire.citation.conferencePlacePorto, Portugalpt_PT
oaire.citation.endPage91pt_PT
oaire.citation.startPage81pt_PT
oaire.citation.titleInternational Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2016)pt_PT
oaire.citation.volume619pt_PT
oaire.fundingStreamH2020
person.familyNameJozi
person.familyNameVale
person.givenNameAria
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-0968-7879
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id57193337928
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication7c41d730-faad-4de9-9a4e-4e25af8fac50
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isProjectOfPublication4a092e97-cc2f-4f57-8d3c-cf1709963516
relation.isProjectOfPublication.latestForDiscovery4a092e97-cc2f-4f57-8d3c-cf1709963516

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