{"id":"https://openalex.org/W2559077093","doi":"https://doi.org/10.1109/cec.2016.7744289","title":"A multiobjective evolutionary algorithm based on decomposition for unit commitment problem with significant wind penetration","display_name":"A multiobjective evolutionary algorithm based on decomposition for unit commitment problem with significant wind penetration","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2559077093","doi":"https://doi.org/10.1109/cec.2016.7744289","mag":"2559077093"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2016.7744289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008726304","display_name":"Anupam Trivedi","orcid":"https://orcid.org/0000-0002-3066-5578"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Anupam Trivedi","raw_affiliation_strings":["Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016960268","display_name":"Dipti Srinivasan","orcid":"https://orcid.org/0000-0003-4877-3478"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dipti Srinivasan","raw_affiliation_strings":["Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048679841","display_name":"Kunal Pal","orcid":"https://orcid.org/0000-0002-9657-0053"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kunal Pal","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5087848751","display_name":"Thomas Reindl","orcid":"https://orcid.org/0000-0001-6011-3638"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Reindl","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008726304"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1867,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60456803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"23","issue":null,"first_page":"3939","last_page":"3946"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10424","display_name":"Electric Power System Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10424","display_name":"Electric Power System Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11941","display_name":"Power System Reliability and Maintenance","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/power-system-simulation","display_name":"Power system simulation","score":0.7132751941680908},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6703868508338928},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5862371921539307},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.5664633512496948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5236629843711853},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5159969329833984},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5129696726799011},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4168703854084015},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.28534573316574097},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25319379568099976},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21561512351036072},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.11633571982383728}],"concepts":[{"id":"https://openalex.org/C116219307","wikidata":"https://www.wikidata.org/wiki/Q7236625","display_name":"Power system simulation","level":4,"score":0.7132751941680908},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6703868508338928},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5862371921539307},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.5664633512496948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5236629843711853},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5159969329833984},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5129696726799011},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4168703854084015},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.28534573316574097},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25319379568099976},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21561512351036072},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.11633571982383728},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2016.7744289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"mag:2748893279","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/201602251624158007","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W252489228","https://openalex.org/W1571403844","https://openalex.org/W1658374639","https://openalex.org/W1979768362","https://openalex.org/W1982635374","https://openalex.org/W1993737429","https://openalex.org/W1997163621","https://openalex.org/W1997614304","https://openalex.org/W2002138517","https://openalex.org/W2015371402","https://openalex.org/W2023491632","https://openalex.org/W2040375228","https://openalex.org/W2042455292","https://openalex.org/W2056077169","https://openalex.org/W2058319997","https://openalex.org/W2062257059","https://openalex.org/W2085507535","https://openalex.org/W2089612677","https://openalex.org/W2101836934","https://openalex.org/W2105511939","https://openalex.org/W2110550129","https://openalex.org/W2110581300","https://openalex.org/W2111414899","https://openalex.org/W2114044244","https://openalex.org/W2121031349","https://openalex.org/W2126105956","https://openalex.org/W2130528655","https://openalex.org/W2143381319","https://openalex.org/W2145334893","https://openalex.org/W2146537945","https://openalex.org/W2150046657","https://openalex.org/W2155262059","https://openalex.org/W2156579657","https://openalex.org/W2165171393","https://openalex.org/W2310891305","https://openalex.org/W2534471135","https://openalex.org/W2588401480","https://openalex.org/W2963201217","https://openalex.org/W2994964425","https://openalex.org/W4285719527","https://openalex.org/W4293860495","https://openalex.org/W6677301818","https://openalex.org/W6683138246","https://openalex.org/W6771627385"],"related_works":["https://openalex.org/W1974955413","https://openalex.org/W2049251811","https://openalex.org/W2140602680","https://openalex.org/W2557657611","https://openalex.org/W2022218967","https://openalex.org/W2147391888","https://openalex.org/W2543208124","https://openalex.org/W4211120176","https://openalex.org/W2557041521","https://openalex.org/W1986587019"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,27,78,82,118,158],"multi-objective":[4,28,166],"evolutionary":[5],"algorithm":[6,95,114,129,154],"based":[7,141],"on":[8,117,142,164],"decomposition":[9],"(MOEA/D)":[10],"is":[11,68,77,85,115,145],"proposed":[12,113,153],"to":[13,44,70],"solve":[14],"the":[15,37,72,88,98,106,112,125,128,152,165],"unit":[16,120],"commitment":[17],"(UC)":[18],"problem":[19,30],"in":[20,130],"presence":[21],"of":[22,90,111,127,132,134,161],"significant":[23],"wind":[24,52],"penetration":[25],"as":[26,36],"optimization":[29,80],"considering":[31],"cost,":[32],"emission,":[33],"and":[34,51,65],"reliability":[35,63,73],"multiple":[38],"objectives.":[39],"The":[40,109,147],"uncertainties":[41],"occurring":[42],"due":[43],"thermal":[45],"generator":[46],"outage,":[47],"load":[48],"forecast":[49,53],"error,":[50],"error":[54],"are":[55],"incorporated":[56],"using":[57],"expected":[58],"energy":[59],"not":[60],"served":[61],"(EENS)":[62],"index":[64],"EENS":[66],"cost":[67],"used":[69],"reflect":[71],"objective.":[74],"Since,":[75],"UC":[76,168],"mixed-integer":[79],"problem,":[81],"hybrid":[83],"strategy":[84,140],"integrated":[86],"within":[87],"framework":[89],"MOEA/D":[91],"such":[92],"that":[93,151],"genetic":[94],"(GA)":[96],"evolves":[97,105],"binary":[99],"variables":[100],"while":[101],"differential":[102],"evolution":[103],"(DE)":[104],"continuous":[107],"variables.":[108],"performance":[110,126],"investigated":[116],"20":[119],"test":[121],"system.":[122],"To":[123],"improve":[124],"terms":[131],"distribution":[133],"solutions":[135,163],"obtained,":[136],"an":[137],"external":[138],"archive":[139],"\u03b5-dominance":[143],"principle":[144],"implemented.":[146],"simulation":[148],"results":[149],"demonstrate":[150],"can":[155],"efficiently":[156],"obtain":[157],"well-distributed":[159],"set":[160],"trade-off":[162],"wind-thermal":[167],"problem.":[169]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
