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Preliminary results of advanced heuristic optimization in the risk-based energy scheduling competition

2022Journal article Open access
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dc.contributor.authorAlmeida, José
dc.contributor.authorLezama, Fernando
dc.contributor.authorSoares, João
dc.contributor.authorVale, Zita
dc.contributor.authorCanizes, Bruno
dc.date.accessioned2023-03-14T09:28:38Z
dc.date.available2023-03-14T09:28:38Z
dc.date.issued2022
dc.description.abstractIn this paper, multiple evolutionary algorithms are applied to solve an energy resource management problem in the day-ahead context involving a risk-based analysis corresponding to the proposed 2022 competition on evolutionary computation. We test numerous evolutionary algorithms for a risk-averse day-ahead operation to show preliminary results for the competition. We use evolutionary computation to follow the competition guidelines. Results show that the HyDE algorithm obtains a better solution with lesser costs when compared to the other tested algorithm due to the minimization of worst-scenario impact.pt_PT
dc.description.sponsorshipThis research has received funding from FEDER funds through the Operational Programme for Competitiveness and Internationaliza- tion (COMPETE 2020), under Project POCI-01-0145-FEDER-028983; by National Funds through the FCT Portuguese Foundation for Science and Technology, under Projects PTDC/EEI-EEE/28983/2017 (CENERGETIC), CEECIND/02814/2017, UIDB/000760/2020, and UIDP/00760/2020pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1145/3520304.3535080pt_PT
dc.identifier.isbn978-1-4503-9268-6
dc.identifier.urihttp://hdl.handle.net/10400.22/22463
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherACMpt_PT
dc.relationPOCI-01-0145-FEDER-028983pt_PT
dc.relationNot Available
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relation.publisherversionhttps://dl.acm.org/doi/10.1145/3520304.3535080pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectComputing methodologiespt_PT
dc.subjectSearch methodologiespt_PT
dc.subjectApplied computingpt_PT
dc.subjectEngineeringpt_PT
dc.titlePreliminary results of advanced heuristic optimization in the risk-based energy scheduling competitionpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleNot Available
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-EEE%2F28983%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F02814%2F2017%2FCP1417%2FCT0002/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00760%2F2020/PT
oaire.citation.conferencePlaceBoston Massachusettspt_PT
oaire.citation.endPage1816pt_PT
oaire.citation.startPage1812pt_PT
oaire.citation.titleGECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companionpt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStreamCEEC IND 2017
oaire.fundingStream6817 - DCRRNI ID
person.familyNameAlmeida
person.familyNameLezama
person.familyNameSoares
person.familyNameVale
person.familyNameCanizes
person.givenNameJosé
person.givenNameFernando
person.givenNameJoão
person.givenNameZita
person.givenNameBruno
person.identifier1043580
person.identifier632184
person.identifier.ciencia-idC017-775D-9F55
person.identifier.ciencia-idE31F-56D6-1E0F
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.ciencia-idA411-F561-E922
person.identifier.orcid0000-0002-9504-0501
person.identifier.orcid0000-0001-8638-8373
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-4560-9544
person.identifier.orcid0000-0002-9808-5537
person.identifier.ridA-6945-2017
person.identifier.ridA-5824-2012
person.identifier.ridI-3492-2017
person.identifier.scopus-author-id36810077500
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id7004115775
person.identifier.scopus-author-id35408699300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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