{"id":"https://openalex.org/W7155359249","doi":"https://doi.org/10.31449/inf.v50i11.11564","title":"PUGWO-TEABC-MNet: A Hybrid Metaheuristic Framework for Optimal Ice-Melting Device Placement in Power Distribution Networks","display_name":"PUGWO-TEABC-MNet: A Hybrid Metaheuristic Framework for Optimal Ice-Melting Device Placement in Power Distribution Networks","publication_year":2026,"publication_date":"2026-04-23","ids":{"openalex":"https://openalex.org/W7155359249","doi":"https://doi.org/10.31449/inf.v50i11.11564"},"language":null,"primary_location":{"id":"doi:10.31449/inf.v50i11.11564","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i11.11564","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/11564/6650","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.informatica.si/index.php/informatica/article/download/11564/6650","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134412025","display_name":"Yue Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145500","display_name":"Guizhou Electric Power Design and Research Institute","ror":"https://ror.org/055f13495","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145500"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Li","raw_affiliation_strings":["Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, Guizhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, Guizhou, China","institution_ids":["https://openalex.org/I4210145500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134401517","display_name":"Hao Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yang","raw_affiliation_strings":["China Southern Power Grid Co.\uff0cLtd.\uff0cGuangzhou 510080, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Southern Power Grid Co.\uff0cLtd.\uff0cGuangzhou 510080, Guangdong, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112987713","display_name":"Yaorong Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145500","display_name":"Guizhou Electric Power Design and Research Institute","ror":"https://ror.org/055f13495","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145500"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaorong Hu","raw_affiliation_strings":["Powerchina Guizhou Electric Power Engineering Co., LTD., Guiyang 550002, Guizhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Powerchina Guizhou Electric Power Engineering Co., LTD., Guiyang 550002, Guizhou, China","institution_ids":["https://openalex.org/I4210145500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134450326","display_name":"Anjiang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145500","display_name":"Guizhou Electric Power Design and Research Institute","ror":"https://ror.org/055f13495","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145500"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anjiang Liu","raw_affiliation_strings":["Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, Guizhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, Guizhou, China","institution_ids":["https://openalex.org/I4210145500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5134376882","display_name":"Chen Dou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145500","display_name":"Guizhou Electric Power Design and Research Institute","ror":"https://ror.org/055f13495","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145500"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Dou","raw_affiliation_strings":["Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, Guizhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, Guizhou, China","institution_ids":["https://openalex.org/I4210145500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7518498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":"11","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12696","display_name":"Icing and De-icing Technologies","score":0.8597999811172485,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12696","display_name":"Icing and De-icing Technologies","score":0.8597999811172485,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12804","display_name":"Thermal Analysis in Power Transmission","score":0.07930000126361847,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12682","display_name":"Smart Materials for Construction","score":0.025200000032782555,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.6328999996185303},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5152000188827515},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4499000012874603},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.42910000681877136},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.4081000089645386},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.38929998874664307},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.38100001215934753},{"id":"https://openalex.org/keywords/nonlinear-programming","display_name":"Nonlinear programming","score":0.353300005197525},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.3531999886035919}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7096999883651733},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.6328999996185303},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5152000188827515},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4796000123023987},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4499000012874603},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.42910000681877136},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.4081000089645386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4034000039100647},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.38929998874664307},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.38100001215934753},{"id":"https://openalex.org/C115527620","wikidata":"https://www.wikidata.org/wiki/Q769909","display_name":"Nonlinear programming","level":3,"score":0.353300005197525},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3531999886035919},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.3434000015258789},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.33219999074935913},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3163999915122986},{"id":"https://openalex.org/C5351157","wikidata":"https://www.wikidata.org/wiki/Q4868485","display_name":"Bat algorithm","level":3,"score":0.3075000047683716},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C423512","wikidata":"https://www.wikidata.org/wiki/Q383973","display_name":"Electricity generation","level":3,"score":0.2883000075817108},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27129998803138733},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.2709999978542328},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2565999925136566},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25380000472068787},{"id":"https://openalex.org/C86155754","wikidata":"https://www.wikidata.org/wiki/Q13636979","display_name":"Hybrid power","level":3,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31449/inf.v50i11.11564","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i11.11564","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/11564/6650","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31449/inf.v50i11.11564","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i11.11564","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/11564/6650","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7399808764457703,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7155359249.pdf","grobid_xml":"https://content.openalex.org/works/W7155359249.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Ice":[0],"accumulation":[1],"on":[2],"power":[3,37,246],"distribution":[4,247],"lines":[5],"leads":[6],"to":[7,30,48,62,107,135,167,192],"significant":[8,172],"reliability":[9],"issues,":[10],"operational":[11],"instability,":[12],"and":[13,22,34,52,66,78,102,111,143,154,186,204,217,224,234],"economic":[14],"losses":[15],"during":[16],"extreme":[17],"weather":[18],"conditions.":[19],"Accurate":[20],"prediction":[21,54,76,125],"optimal":[23,71,179,241],"placement":[24,122],"of":[25],"ice-melting":[26,72,242],"devices":[27],"are":[28],"essential":[29],"mitigate":[31],"these":[32],"impacts":[33],"ensure":[35,108],"continuous":[36],"delivery.":[38],"Conventional":[39],"optimization":[40],"approaches":[41],"often":[42],"exhibit":[43],"slower":[44],"convergence,":[45],"limited":[46],"adaptability":[47],"nonlinear":[49,129],"climatic":[50,130,175],"variations,":[51],"inadequate":[53],"accuracy":[55,233],"under":[56],"uncertain":[57],"environmental":[58],"parameters.":[59],"The":[60,117,196,227],"objective":[61],"develop":[63],"an":[64,157],"intelligent":[65],"robust":[67],"hybrid":[68,83],"framework":[69,118,197,229],"for":[70,240],"equipment":[73],"placement,":[74],"enhancing":[75],"precision":[77],"system":[79],"resilience.":[80],"A":[81],"new":[82],"metaheuristic":[84],"framework,":[85],"PUGWO-TEABC-MNet,":[86],"is":[87],"formulated":[88],"by":[89,123],"integrating":[90],"a":[91,237],"Position-Updated":[92],"Grey":[93],"Wolf":[94],"Optimizer":[95],"(PUGWO),":[96],"Tent-Elite":[97],"Artificial":[98],"Bee":[99],"Colony":[100],"(TEABC),":[101],"LSTM-based":[103],"Memory":[104],"Network":[105],"(MNet)":[106],"adaptive":[109],"exploration":[110],"exploitation":[112],"with":[113],"dynamic":[114],"memory":[115],"learning.":[116],"optimally":[119],"determines":[120],"device":[121,243],"minimizing":[124],"error":[126],"while":[127],"modeling":[128],"dependencies.":[131],"Climatic":[132],"datasets":[133],"related":[134],"icing":[136],"events,":[137],"including":[138],"wind":[139],"speed,":[140],"temperature,":[141],"humidity,":[142],"ice":[144],"thickness,":[145],"were":[146,152],"collected":[147],"from":[148],"Kaggle":[149],"repositories.":[150],"Data":[151],"normalized":[153],"partitioned":[155],"into":[156],"80:20":[158],"training\u2013testing":[159],"ratio.":[160],"Principal":[161],"Component":[162],"Analysis":[163],"(PCA)":[164],"was":[165,198],"used":[166],"retain":[168],"the":[169],"eight":[170],"most":[171],"components":[173],"representing":[174],"influence.":[176],"PUGWO":[177],"initializes":[178],"search":[180],"regions,":[181],"TEABC":[182],"refines":[183],"global":[184],"optima,":[185],"MNet":[187],"captures":[188],"sequential":[189],"temporal":[190],"patterns":[191],"improve":[193],"predictive":[194],"stability.":[195],"implemented":[199],"in":[200,245],"Python":[201],"using":[202],"TensorFlow":[203],"Scikit-learn":[205],"libraries.":[206],"Performance":[207],"metrics":[208],"achieved":[209],"include":[210],"R\u00b2":[211],"=":[212,215,219],"0.992,":[213],"MAPE":[214],"0.0042,":[216],"RMSE":[218],"0.12,":[220],"outperforming":[221],"baseline":[222],"BP":[223],"PSO-BP":[225],"approaches.":[226],"proposed":[228],"demonstrates":[230],"superior":[231],"forecasting":[232],"resilience,":[235],"providing":[236],"cost-effective":[238],"strategy":[239],"deployment":[244],"networks.":[248]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-04-24T00:00:00"}