{"id":"https://openalex.org/W4364305274","doi":"https://doi.org/10.1145/3582935.3582972","title":"A High-Frequency Monitoring Method for Urban Carbon Emissions Based on Vertical Federated Deep Learning and Multi-Source Heterogeneous Data Fusion Methods","display_name":"A High-Frequency Monitoring Method for Urban Carbon Emissions Based on Vertical Federated Deep Learning and Multi-Source Heterogeneous Data Fusion Methods","publication_year":2022,"publication_date":"2022-11-04","ids":{"openalex":"https://openalex.org/W4364305274","doi":"https://doi.org/10.1145/3582935.3582972"},"language":"en","primary_location":{"id":"doi:10.1145/3582935.3582972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3582935.3582972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering","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/A5023796934","display_name":"Yi Gao","orcid":"https://orcid.org/0000-0003-2480-7469"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yi Gao","raw_affiliation_strings":["State Grid Tianjin Economic and Technological Research Institute, State Grid Tianjin Electric Power Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Tianjin Economic and Technological Research Institute, State Grid Tianjin Electric Power Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020427989","display_name":"Dawei Yan","orcid":"https://orcid.org/0000-0001-5626-2817"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dawei Yan","raw_affiliation_strings":["State Grid Tianjin Economic and Technological Research Institute, State Grid Tianjin Electric Power Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Tianjin Economic and Technological Research Institute, State Grid Tianjin Electric Power Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030708032","display_name":"Ning Liu","orcid":"https://orcid.org/0000-0001-5328-9256"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning Liu","raw_affiliation_strings":["State Grid Tianjin Electric Power Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Tianjin Electric Power Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015373776","display_name":"Shuai Luo","orcid":"https://orcid.org/0000-0001-7117-2385"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuai Luo","raw_affiliation_strings":["State Grid Tianjin Economic and Technological Research Institute, State Grid Tianjin Electric Power Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Tianjin Economic and Technological Research Institute, State Grid Tianjin Electric Power Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067733606","display_name":"Zhiyu Zhou","orcid":"https://orcid.org/0000-0003-0536-7429"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyu Zhou","raw_affiliation_strings":["Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024913606","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0002-5274-0233"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["State Grid Tianjin Economic and Technological Research Institute, State Grid Tianjin Electric Power Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Tianjin Economic and Technological Research Institute, State Grid Tianjin Electric Power Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081007067","display_name":"Yue Chen","orcid":"https://orcid.org/0000-0003-3913-122X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Chen","raw_affiliation_strings":["State Grid Tianjin Economic and Technological Research Institute, State Grid Tianjin Electric Power Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Tianjin Economic and Technological Research Institute, State Grid Tianjin Electric Power Company, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055720544","display_name":"Bixuan Gao","orcid":"https://orcid.org/0000-0002-3807-9004"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bixuan Gao","raw_affiliation_strings":["Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5023796934"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1077,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.45901334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"232","last_page":"237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9508000016212463,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9508000016212463,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9368000030517578,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/greenhouse-gas","display_name":"Greenhouse gas","score":0.6746854782104492},{"id":"https://openalex.org/keywords/carbon-fibers","display_name":"Carbon fibers","score":0.5679969787597656},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.5386194586753845},{"id":"https://openalex.org/keywords/environmental-economics","display_name":"Environmental economics","score":0.4667409062385559},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4136129319667816},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.40208324790000916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38816630840301514},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3537638783454895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08377861976623535}],"concepts":[{"id":"https://openalex.org/C47737302","wikidata":"https://www.wikidata.org/wiki/Q167336","display_name":"Greenhouse gas","level":2,"score":0.6746854782104492},{"id":"https://openalex.org/C140205800","wikidata":"https://www.wikidata.org/wiki/Q5860","display_name":"Carbon fibers","level":3,"score":0.5679969787597656},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.5386194586753845},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.4667409062385559},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4136129319667816},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.40208324790000916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38816630840301514},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3537638783454895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08377861976623535},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C104779481","wikidata":"https://www.wikidata.org/wiki/Q50707","display_name":"Composite number","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3582935.3582972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3582935.3582972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W3092914093","https://openalex.org/W3095646616"],"related_works":["https://openalex.org/W2474431918","https://openalex.org/W2898107337","https://openalex.org/W2078072966","https://openalex.org/W4383503214","https://openalex.org/W38287360","https://openalex.org/W2954886250","https://openalex.org/W4200539072","https://openalex.org/W2389199865","https://openalex.org/W2125751271","https://openalex.org/W2141883046"],"abstract_inverted_index":{"Carbon":[0],"emissions":[1],"are":[2,102],"the":[3,24,40,56,65,112,143,191,204],"main":[4],"culprit":[5],"of":[6,42,59,71,78,209],"global":[7],"warming.":[8],"Accurate":[9],"carbon":[10,18,25,35,46,60,92,118,155,165,195],"emission":[11,19,26,36,61,93,156,166,196],"forecasting":[12],"helps":[13,23],"government":[14,107],"departments":[15,108,127],"formulate":[16],"effective":[17,34],"reduction":[20],"policies":[21],"and":[22,33,52,68,82,89,98,109,179,184,207],"market":[27],"develop":[28],"orderly.":[29],"Implementing":[30],"an":[31,132,150],"accurate":[32],"monitoring":[37,167],"model":[38,168,192],"requires":[39],"collaboration":[41],"many":[43,50],"parties":[44],"because":[45],"emission-related":[47,119],"data":[48,80,99,120,135,144,182,205],"involves":[49],"sectors":[51,148,172],"industries.":[53],"However,":[54],"for":[55,169],"relevant":[57],"characteristics":[58],"monitoring,":[62],"due":[63],"to":[64,116],"different":[66],"collection":[67],"storage":[69],"standards":[70],"various":[72,126,147,200],"departments,":[73],"poor":[74],"maintenance":[75],"environment,":[76],"lack":[77],"data,":[79],"loss,":[81],"abnormal":[83],"severe,":[84],"resulting":[85],"in":[86,153,199],"high":[87,90],"frequency":[88],"precision":[91],"monitoring.":[94],"As":[95],"privacy":[96],"protection":[97],"security":[100],"issues":[101],"gradually":[103],"taken":[104],"seriously":[105],"by":[106],"related":[110],"enterprises,":[111],"inability":[113],"or":[114,123],"unwillingness":[115],"share":[117],"among":[121,125],"enterprises":[122,129],"even":[124],"within":[128],"has":[130],"created":[131],"increasingly":[133],"severe":[134],"silo":[136],"phenomenon.":[137],"In":[138],"addition,":[139],"how":[140],"effectively":[141],"breaking":[142],"barriers":[145],"between":[146],"is":[149],"urgent":[151],"problem":[152],"grasping":[154],"change":[157,197],"changes":[158],"accurately.":[159],"Therefore,":[160],"this":[161],"paper":[162],"proposes":[163],"a":[164],"key":[170],"urban":[171],"based":[173],"on":[174],"vertical":[175],"federated":[176],"deep":[177],"learning":[178],"multi-source":[180],"heterogeneous":[181],"fusion":[183],"sharing.":[185],"The":[186],"experimental":[187],"results":[188],"show":[189],"that":[190],"accurately":[193],"predicts":[194],"trends":[198],"application":[201],"scenarios":[202],"under":[203],"availability":[206],"invisibility":[208],"each":[210],"participant.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}