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A platform for testing the performance of metaheuristics solving the energy resource management problem in smart grids

2018Journal article Open access
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dc.contributor.authorLezama, Fernando
dc.contributor.authorSoares, João
dc.contributor.authorVale, Zita
dc.date.accessioned2021-02-24T10:46:31Z
dc.date.available2021-02-24T10:46:31Z
dc.date.issued2018
dc.descriptionProceedings of the 7th DACH+ Conference on Energy Informaticspt_PT
dc.description.abstractDue to the importance of the energy resource management (ERM) in the energy community, several mathematical formulations have been successfully proposed to solve the problem. However, due to the very dynamic evolution of power systems and the transformation of electrical grids, mainly due to the development of smart grid technologies, traditional formulations, which were designed for an entirely different scenario, sometimes cannot deal with the problem efficiently. It is in those situations, where traditional approaches fail, that modern metaheuristic optimizers have demonstrated been a potent tool to face such challenges. In this paper, we present “Meta-ERM”, a MATLAB© platform designed to assess the performance of modern metaheuristics when solving the ERM problem.pt_PT
dc.description.sponsorshipThis work has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 641794 project DREAM-GO. We thank the support of the IEEE PES Working Group on Modern Heuristic Optimization (WGMHO) and the IEEE CIS Task Force on Computational Intelligence in the Energy Domain in the realization of competition initiatives. We would also like to show our gratitude to the Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD). This work has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 641794 project DREAM-GOpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1186/s42162-018-0046-ypt_PT
dc.identifier.issn2520-8942
dc.identifier.urihttp://hdl.handle.net/10400.22/17102
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://energyinformatics.springeropen.com/articles/10.1186/s42162-018-0046-ypt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/pt_PT
dc.subjectEnergy resource managementpt_PT
dc.subjectMetaheuristicspt_PT
dc.subjectOptimizationpt_PT
dc.subjectSimulationpt_PT
dc.titleA platform for testing the performance of metaheuristics solving the energy resource management problem in smart gridspt_PT
dc.typejournal article
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.issueS1pt_PT
oaire.citation.titleEnergy Informaticspt_PT
oaire.citation.volume1pt_PT
oaire.fundingStreamH2020
person.familyNameLezama
person.familyNameSoares
person.familyNameVale
person.givenNameFernando
person.givenNameJoão
person.givenNameZita
person.identifier1043580
person.identifier632184
person.identifier.ciencia-idE31F-56D6-1E0F
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0001-8638-8373
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-6945-2017
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id36810077500
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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