{"id":"https://openalex.org/W4403826969","doi":"https://doi.org/10.1109/tevc.2024.3486741","title":"A Large-Scale Multiobjective Evolutionary Quantile Estimation Model for Wind Power Probabilistic Forecasting","display_name":"A Large-Scale Multiobjective Evolutionary Quantile Estimation Model for Wind Power Probabilistic Forecasting","publication_year":2024,"publication_date":"2024-10-28","ids":{"openalex":"https://openalex.org/W4403826969","doi":"https://doi.org/10.1109/tevc.2024.3486741"},"language":"en","primary_location":{"id":"doi:10.1109/tevc.2024.3486741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2024.3486741","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-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/A5031554092","display_name":"Jianhua Zhu","orcid":"https://orcid.org/0000-0003-0937-7501"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Zhu","raw_affiliation_strings":["School of Management, and the Philosophy and Social Sciences Laboratory of Data Science and Smart Society Governance, Ministry of Education, Hefei University of Technology, Hefei, Anhui, China","School of Management, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-0937-7501","affiliations":[{"raw_affiliation_string":"School of Management, and the Philosophy and Social Sciences Laboratory of Data Science and Smart Society Governance, Ministry of Education, Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074422480","display_name":"Yaoyao He","orcid":"https://orcid.org/0000-0001-5059-5151"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoyao He","raw_affiliation_strings":["School of Management, and the Philosophy and Social Sciences Laboratory of Data Science and Smart Society Governance, Ministry of Education, Hefei University of Technology, Hefei, Anhui, China","School of Management, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5059-5151","affiliations":[{"raw_affiliation_string":"School of Management, and the Philosophy and Social Sciences Laboratory of Data Science and Smart Society Governance, Ministry of Education, Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.8654,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73883855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"29","issue":"5","first_page":"2244","last_page":"2257"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9976999759674072,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9976999759674072,"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/T10424","display_name":"Electric Power System Optimization","score":0.949400007724762,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.6909469366073608},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6244218945503235},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.5823994278907776},{"id":"https://openalex.org/keywords/wind-power-forecasting","display_name":"Wind power forecasting","score":0.5683966279029846},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5534911155700684},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5454195737838745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5212641358375549},{"id":"https://openalex.org/keywords/probabilistic-forecasting","display_name":"Probabilistic forecasting","score":0.4957641065120697},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4457111954689026},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.39481809735298157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36848628520965576},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35512644052505493},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3318590223789215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28462088108062744},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.27898019552230835},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2549942135810852},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14865565299987793},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13754254579544067}],"concepts":[{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.6909469366073608},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6244218945503235},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.5823994278907776},{"id":"https://openalex.org/C2781084341","wikidata":"https://www.wikidata.org/wiki/Q2583670","display_name":"Wind power forecasting","level":4,"score":0.5683966279029846},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5534911155700684},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5454195737838745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5212641358375549},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.4957641065120697},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4457111954689026},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.39481809735298157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36848628520965576},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35512644052505493},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3318590223789215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28462088108062744},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.27898019552230835},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2549942135810852},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14865565299987793},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13754254579544067},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tevc.2024.3486741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2024.3486741","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2058180748","display_name":null,"funder_award_id":"2108085J36","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2315068166","display_name":null,"funder_award_id":"72471071","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5716032751","display_name":null,"funder_award_id":"72171068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2062061003","https://openalex.org/W2072661909","https://openalex.org/W2083076425","https://openalex.org/W2106334424","https://openalex.org/W2126105956","https://openalex.org/W2128357515","https://openalex.org/W2146446525","https://openalex.org/W2329749247","https://openalex.org/W2478048910","https://openalex.org/W2510493362","https://openalex.org/W2513211214","https://openalex.org/W2616257225","https://openalex.org/W2764251381","https://openalex.org/W2765713974","https://openalex.org/W2804705402","https://openalex.org/W2884414452","https://openalex.org/W2914542742","https://openalex.org/W2918619047","https://openalex.org/W2932748297","https://openalex.org/W2946739419","https://openalex.org/W3014646168","https://openalex.org/W3019036793","https://openalex.org/W3021265055","https://openalex.org/W3083492053","https://openalex.org/W3097950615","https://openalex.org/W3107023852","https://openalex.org/W3108680670","https://openalex.org/W3111473086","https://openalex.org/W3133449792","https://openalex.org/W3205373220","https://openalex.org/W3205533894","https://openalex.org/W3206353879","https://openalex.org/W3210594635","https://openalex.org/W4200360252","https://openalex.org/W4214944984","https://openalex.org/W4285180637","https://openalex.org/W4293195566","https://openalex.org/W4295745574","https://openalex.org/W4324125308","https://openalex.org/W4362469528","https://openalex.org/W4386634578","https://openalex.org/W4387414972","https://openalex.org/W4389371910","https://openalex.org/W4390120198","https://openalex.org/W4390848533","https://openalex.org/W4391407051","https://openalex.org/W4399558701"],"related_works":["https://openalex.org/W2626641865","https://openalex.org/W2034182965","https://openalex.org/W2246158493","https://openalex.org/W2885078783","https://openalex.org/W2102851390","https://openalex.org/W2946066052","https://openalex.org/W3125211436","https://openalex.org/W2321107782","https://openalex.org/W3133386668","https://openalex.org/W2804705402"],"abstract_inverted_index":{"Short-term":[0],"wind":[1,16,78],"power":[2,17,79],"probabilistic":[3,18,43,80,151],"forecasting":[4,44],"can":[5],"furnish":[6],"decision-makers":[7],"with":[8],"comprehensive":[9],"information":[10,192],"to":[11,37,47,59,75,98,135,189],"enhance":[12],"management":[13],"capabilities.":[14],"Most":[15],"predictions":[19],"are":[20,57],"modeled":[21],"by":[22],"multiple":[23,107],"training":[24,126],"of":[25,127,142,159,186],"the":[26,52,112,125,137,143,175,194,199,205,208],"pinball":[27],"loss":[28,108],"at":[29],"a":[30,49,65,87,106,130,181],"single":[31],"quantile.":[32],"However,":[33],"this":[34,121],"modeling":[35],"leads":[36],"two":[38],"underlying":[39],"limitations,":[40],"i.e.,":[41],"traditional":[42],"models":[45],"fail":[46],"achieve":[48,136],"balance":[50],"between":[51],"accuracy":[53],"and":[54,56,115,161,202],"width":[55,116],"prone":[58],"quantile":[60,72,85],"crossover.":[61],"This":[62],"article":[63],"proposes":[64],"novel":[66],"model":[67],"called":[68],"large-scale":[69,131,148,164,177],"multiobjective":[70,132,166],"evolutionary":[71],"estimation":[73],"(LMOEQE)":[74],"obtain":[76],"high-quality":[77],"estimations.":[81],"Specifically,":[82],"for":[83,150,173],"avoiding":[84],"crossover,":[86],"multiquantile":[88],"regression":[89],"monotone":[90],"fuzzy":[91],"neural":[92,152],"network":[93,153],"(MQRMFNN)":[94],"is":[95,117,154,171],"first":[96],"proposed":[97,172],"simultaneously":[99],"output":[100],"monotonically":[101],"increasing":[102],"probability":[103,144],"distributions.":[104],"Then,":[105],"function":[109],"framework":[110],"involving":[111],"accuracy,":[113],"reliability":[114],"designed.":[118],"Based":[119],"on":[120,139],"framework,":[122],"we":[123],"regard":[124],"MQRMFNN":[128],"as":[129],"problem":[133],"(MOP)":[134],"tradeoff":[138],"each":[140],"metric":[141],"distribution.":[145],"But":[146],"optimizing":[147],"MOP":[149],"extremely":[155],"demanding":[156],"in":[157,210],"terms":[158],"efficiency":[160],"performance.":[162],"A":[163],"distributed":[165,182],"competitive":[167,183],"swarm":[168],"optimizer":[169],"(LDMOCSO)":[170],"solving":[174],"constructed":[176],"MOP.":[178],"It":[179],"implements":[180],"update":[184],"strategy":[185],"different":[187],"states":[188],"leverage":[190],"global":[191],"from":[193],"decision":[195],"space,":[196],"effectively":[197],"enhancing":[198],"convergence":[200],"speed":[201],"diversity.":[203],"All":[204],"methods":[206],"show":[207],"superiority":[209],"real-world":[211],"datasets.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
