Ensemble ranking: an aggregation of multiple multicriteria methods and scenarios and its application to power generation planning

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dc.creatorMarcos Antonio Alves
dc.creatorBruno Alberto Soares Oliveira
dc.creatorFrederico Gadelha Guimarães
dc.date.accessioned2026-01-21T18:39:09Z
dc.date.issued2024-03
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.identifier.doihttps://doi.org/10.1016/j.dajour.2024.100435
dc.identifier.issn2772-6622
dc.identifier.urihttps://hdl.handle.net/1843/1459
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofDecision Analytics Journal
dc.rightsAttribution-NonCommercial 3.0 Brazilen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/br/
dc.subjectEnergia renovável
dc.subjectRecursos naturais
dc.subjectGeração de energia
dc.subject.otherRobust decision-making
dc.subject.otherMulticriteria decision-making
dc.subject.otherUncertainty scenarios
dc.subject.otherPower generation planning
dc.subject.otherGeneration maintenance scheduling problems
dc.subject.otherHydrothermal dispatch
dc.titleEnsemble ranking: an aggregation of multiple multicriteria methods and scenarios and its application to power generation planning
dc.typeArtigo de periódico
local.citation.epage10
local.citation.spage1
local.citation.volume10
local.description.resumoEvaluating maintenance plans for power generation is a critical task managed by the National System Operator, as it is directly related to criteria such as operational cost, rationing, and availability of natural resources. This study identifies the most suitable maintenance schedule between uncertainties related to solution ranking methods and future scenarios. We investigated the performance of various multicriteria decision-making methods, including the Analytic Hierarchy Process (AHP), TODIM ((an acronym in Portuguese for Interactive Multicriteria decision-making), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR), and Weighted Aggregated Sum Product ASsessment (WASPAS), in prioritizing maintenance plans across three scenarios. These included a scenario derived from an energy generation problem and two others based on variations in hydrology and energy demand parameters. The results analyze and discuss the similarities and differences in the rankings. Due to the lack of consensus among the methods regarding the optimal maintenance plan, we propose an ensemble ranking that considers an important factor for both the method and the scenario. The solution from the ensemble ranking, compared to the lowest-cost solution obtained in the optimization process, showed a slight cost increase of 0.32% and a 9.34% deviation from the base maintenance plan, yet it can deal with different uncertainties. The findings of this study can provide useful and robust information to energy stakeholders and serve as a reference for energy policy.
local.identifier.orcidhttps://orcid.org/0000-0001-6934-6745
local.identifier.orcidhttps://orcid.org/0000-0002-1816-7146
local.publisher.countryBrasil
local.publisher.departmentICX - DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃO
local.publisher.initialsUFMG
local.subject.cnpqCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
local.url.externahttps://www.sciencedirect.com/science/article/pii/S2772662224000390

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