{"id":"https://openalex.org/W4412129405","doi":"https://doi.org/10.1109/ias62731.2025.11061383","title":"Overhead Line Icing Forecast Model Based on Multi-Point Data and Graph Convolutional Network","display_name":"Overhead Line Icing Forecast Model Based on Multi-Point Data and Graph Convolutional Network","publication_year":2025,"publication_date":"2025-06-15","ids":{"openalex":"https://openalex.org/W4412129405","doi":"https://doi.org/10.1109/ias62731.2025.11061383"},"language":"en","primary_location":{"id":"doi:10.1109/ias62731.2025.11061383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias62731.2025.11061383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Industry Applications Society Annual Meeting (IAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101561563","display_name":"Zhendong Li","orcid":"https://orcid.org/0000-0001-5411-2612"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhendong Li","raw_affiliation_strings":["State Grid.Jibei Electric Power Co. Ltd.,EHV Branch,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid.Jibei Electric Power Co. Ltd.,EHV Branch,Beijing,China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100547143","display_name":"Han Geng","orcid":"https://orcid.org/0009-0006-9603-8549"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Geng Han","raw_affiliation_strings":["State Grid.Jibei Electric Power Co. Ltd.,EHV Branch,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid.Jibei Electric Power Co. Ltd.,EHV Branch,Beijing,China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778973","display_name":"Feiran Wang","orcid":"https://orcid.org/0000-0002-6601-9172"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiran Wang","raw_affiliation_strings":["State Grid.Jibei Electric Power Co. Ltd.,EHV Branch,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid.Jibei Electric Power Co. Ltd.,EHV Branch,Beijing,China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101879054","display_name":"Xinyang Guo","orcid":"https://orcid.org/0000-0001-5607-5704"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyang Guo","raw_affiliation_strings":["State Grid.Jibei Electric Power Co. Ltd.,EHV Branch,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid.Jibei Electric Power Co. Ltd.,EHV Branch,Beijing,China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401199","display_name":"Feng Zhang","orcid":"https://orcid.org/0000-0001-6314-6355"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhang","raw_affiliation_strings":["State Grid.Jibei Electric Power Co. Ltd.,EHV Branch,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid.Jibei Electric Power Co. Ltd.,EHV Branch,Beijing,China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100429611","display_name":"Liming Li","orcid":"https://orcid.org/0000-0001-7780-1883"},"institutions":[{"id":"https://openalex.org/I4210132158","display_name":"Annoroad Gene Technology (China)","ror":"https://ror.org/03gyd9q58","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liming Li","raw_affiliation_strings":["Beijing Tsingdian Technology Co., Ltd.,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Tsingdian Technology Co., Ltd.,Beijing,China","institution_ids":["https://openalex.org/I4210132158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12804","display_name":"Thermal Analysis in Power Transmission","score":0.972100019454956,"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"}},"topics":[{"id":"https://openalex.org/T12804","display_name":"Thermal Analysis in Power Transmission","score":0.972100019454956,"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/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12696","display_name":"Icing and De-icing Technologies","score":0.9513000249862671,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7526726722717285},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5593172907829285},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5237371921539307},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4937985837459564},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4787273108959198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.359599769115448},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3058742880821228},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14791938662528992}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7526726722717285},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5593172907829285},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5237371921539307},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4937985837459564},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4787273108959198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.359599769115448},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3058742880821228},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14791938662528992},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ias62731.2025.11061383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias62731.2025.11061383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Industry Applications Society Annual Meeting (IAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2952348651","https://openalex.org/W2375742443","https://openalex.org/W2149381099","https://openalex.org/W4200520489","https://openalex.org/W1483190388","https://openalex.org/W2061536531","https://openalex.org/W193873054","https://openalex.org/W2153990583","https://openalex.org/W4387696812","https://openalex.org/W607296746"],"abstract_inverted_index":{"Accurate":[0],"forecast":[1,74,136,154],"of":[2,12,64,113],"overhead":[3,133],"line":[4,134],"icing":[5,114,135],"is":[6,105,128],"crucial":[7],"for":[8,17,97],"the":[9,45,48,109,132,149],"safe":[10],"operation":[11],"power":[13],"grids.":[14],"Existing":[15],"methods":[16],"forecasting":[18],"ice":[19,65],"thickness":[20,115],"primarily":[21],"rely":[22],"on":[23,77,108],"meteorological":[24,49,79,88],"data":[25,50,80,116],"from":[26,51],"a":[27,72,121],"single":[28],"monitoring":[29,46,53,99],"position":[30,54],"as":[31,94],"input.":[32],"However,":[33],"when":[34],"local":[35],"abnormal":[36],"weather":[37],"conditions":[38],"occur":[39],"or":[40],"there":[41],"are":[42,92],"malfunctions":[43],"in":[44],"equipment,":[47],"that":[52],"may":[55],"exhibit":[56],"significant":[57],"deviations,":[58],"thereby":[59],"leading":[60],"to":[61,119,130],"inaccurate":[62],"predictions":[63],"thickness.":[66],"To":[67],"address":[68],"this,":[69],"we":[70],"propose":[71],"novel":[73],"method":[75,151],"based":[76,107],"multi-position":[78],"and":[81,89],"Graph":[82],"Convolutional":[83],"Neural":[84],"Networks":[85],"(GCN).":[86],"First,":[87],"topographical":[90],"features":[91],"extracted":[93],"feature":[95],"vectors":[96],"each":[98],"position.":[100],"Then,":[101],"an":[102],"adjacency":[103],"matrix":[104],"constructed":[106],"Pearson":[110],"correlation":[111],"coefficients":[112],"between":[117],"points":[118],"establish":[120],"graph":[122,126],"structure.":[123],"Finally,":[124],"this":[125],"structure":[127],"used":[129],"train":[131],"model.":[137],"The":[138],"case":[139],"study":[140],"analysis":[141],"indicates":[142],"that,":[143],"compared":[144],"with":[145],"other":[146],"benchmark":[147],"models,":[148],"proposed":[150],"demonstrates":[152],"superior":[153],"accuracy.":[155]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
