{"id":"https://openalex.org/W2783050297","doi":"https://doi.org/10.1109/icsai.2017.8248322","title":"Analysis and prediction: A research on the operation and maintenance cost of power distribution network","display_name":"Analysis and prediction: A research on the operation and maintenance cost of power distribution network","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2783050297","doi":"https://doi.org/10.1109/icsai.2017.8248322","mag":"2783050297"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2017.8248322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2017.8248322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Systems and Informatics (ICSAI)","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/A5100695163","display_name":"Xiaoyan Yu","orcid":"https://orcid.org/0000-0003-0351-8393"},"institutions":[{"id":"https://openalex.org/I4210106357","display_name":"Zhejiang Energy Research Institute","ror":"https://ror.org/01fqrb109","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210106357"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Yu","raw_affiliation_strings":["Economic Research Institute, Zhejiang Electric Power Company Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Economic Research Institute, Zhejiang Electric Power Company Hangzhou, China","institution_ids":["https://openalex.org/I4210106357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090465035","display_name":"Xuecheng Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106357","display_name":"Zhejiang Energy Research Institute","ror":"https://ror.org/01fqrb109","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210106357"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuecheng Qi","raw_affiliation_strings":["Economic Research Institute, Zhejiang Electric Power Company Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Economic Research Institute, Zhejiang Electric Power Company Hangzhou, China","institution_ids":["https://openalex.org/I4210106357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042473659","display_name":"Zhifang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106357","display_name":"Zhejiang Energy Research Institute","ror":"https://ror.org/01fqrb109","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210106357"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifang Yu","raw_affiliation_strings":["Economic Research Institute, Zhejiang Electric Power Company Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Economic Research Institute, Zhejiang Electric Power Company Hangzhou, China","institution_ids":["https://openalex.org/I4210106357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086814847","display_name":"Jia Chen","orcid":"https://orcid.org/0000-0002-6350-6610"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia Chen","raw_affiliation_strings":["Zhejiang Huayun Information Technology Co., Ltd, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Huayun Information Technology Co., Ltd, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102890738","display_name":"Yingfeng Zhou","orcid":"https://orcid.org/0000-0001-6210-1489"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingfeng Zhou","raw_affiliation_strings":["Zhejiang Sci-tech University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Sci-tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]}],"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":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":null,"first_page":"380","last_page":"385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9884999990463257,"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":0.9884999990463257,"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/T12368","display_name":"Grey System Theory Applications","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13955","display_name":"Evaluation Methods in Various Fields","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/artificial-neural-network","display_name":"Artificial neural network","score":0.770250678062439},{"id":"https://openalex.org/keywords/grey-relational-analysis","display_name":"Grey relational analysis","score":0.7506834268569946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7204917669296265},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.48742035031318665},{"id":"https://openalex.org/keywords/investment","display_name":"Investment (military)","score":0.47132614254951477},{"id":"https://openalex.org/keywords/maintenance-engineering","display_name":"Maintenance engineering","score":0.45442038774490356},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.42538702487945557},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4243059754371643},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41447871923446655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3942563235759735},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35449397563934326},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.350211501121521},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17492511868476868},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0958055853843689},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09420329332351685}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.770250678062439},{"id":"https://openalex.org/C64734493","wikidata":"https://www.wikidata.org/wiki/Q5608296","display_name":"Grey relational analysis","level":2,"score":0.7506834268569946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7204917669296265},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.48742035031318665},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.47132614254951477},{"id":"https://openalex.org/C23725684","wikidata":"https://www.wikidata.org/wiki/Q616377","display_name":"Maintenance engineering","level":2,"score":0.45442038774490356},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.42538702487945557},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4243059754371643},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41447871923446655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3942563235759735},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35449397563934326},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.350211501121521},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17492511868476868},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0958055853843689},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09420329332351685},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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":1,"locations":[{"id":"doi:10.1109/icsai.2017.8248322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2017.8248322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1569512666","https://openalex.org/W2035279175","https://openalex.org/W2059591884","https://openalex.org/W2272677127","https://openalex.org/W2347549746","https://openalex.org/W2356653461","https://openalex.org/W2381336605"],"related_works":["https://openalex.org/W2922097266","https://openalex.org/W2885480708","https://openalex.org/W2043277481","https://openalex.org/W2056239380","https://openalex.org/W2049612019","https://openalex.org/W4285212053","https://openalex.org/W2127238875","https://openalex.org/W2003821909","https://openalex.org/W1996965619","https://openalex.org/W2134908432"],"abstract_inverted_index":{"Operation":[0],"and":[1,33,90,100,113],"maintenance":[2,101],"of":[3,11,30,44,85,103,120,139,142,154],"electric":[4],"distribution":[5,104],"network":[6,31,105,123,145,157],"is":[7,23,58],"a":[8],"critical":[9],"component":[10],"the":[12,19,27,36,53,83,98,109,117,130,137,151],"power":[13],"grid":[14],"enterprise":[15],"investment.":[16],"To":[17],"optimize":[18],"investment":[20],"strategy,":[21],"it":[22],"necessary":[24],"to":[25,70],"estimate":[26],"exact":[28],"cost":[29,79,102],"operation":[32,99],"maintenance.":[34],"However,":[35],"estimation":[37],"involves":[38],"various":[39],"potential":[40],"impact":[41],"factors,":[42],"categories":[43],"which":[45,148],"including":[46],"social,":[47],"economic,":[48],"policy,":[49],"resources,":[50],"etc.":[51],"Furthermore,":[52],"mechanism":[54],"among":[55],"those":[56],"factors":[57,96],"so":[59],"complicated":[60],"that":[61,129],"can":[62,134],"be":[63],"hardly":[64],"described":[65],"using":[66],"linear":[67],"models.":[68],"According":[69],"that,":[71],"in":[72],"this":[73],"study":[74],"we":[75],"present":[76],"an":[77],"accurate":[78],"predictive":[80],"model":[81],"with":[82],"combination":[84],"Grey":[86],"Relational":[87],"Analysis":[88],"(GRA)":[89],"Artificial":[91],"Neural":[92],"Network.":[93],"The":[94,125],"main":[95],"affecting":[97],"are":[106,114],"extracted":[107],"by":[108],"grey":[110,131],"relational":[111,132],"analysis":[112,133],"collected":[115],"as":[116],"input":[118,140],"variables":[119,141],"artificial":[121,143,155],"neural":[122,144,156],"model.":[124,158],"empirical":[126],"test":[127],"shows":[128],"efficiently":[135],"reduce":[136],"number":[138],"prediction":[146],"model,":[147],"subsequently":[149],"improve":[150],"predicting":[152],"accuracy":[153]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
