{"id":"https://openalex.org/W4214710557","doi":"https://doi.org/10.1145/3488933.3488961","title":"Electricity Consumption Prediction Based on Generative Adversarial Network","display_name":"Electricity Consumption Prediction Based on Generative Adversarial Network","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W4214710557","doi":"https://doi.org/10.1145/3488933.3488961"},"language":"en","primary_location":{"id":"doi:10.1145/3488933.3488961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488933.3488961","pdf_url":null,"source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","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/A5066727108","display_name":"Feng Zhu","orcid":"https://orcid.org/0000-0003-3542-3989"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng Zhu","raw_affiliation_strings":["State Grid Shandong Electric Power Company Heze Power Supply company, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Shandong Electric Power Company Heze Power Supply company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109577496","display_name":"Xinmeng Wang","orcid":"https://orcid.org/0009-0007-1854-3205"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinmeng Wang","raw_affiliation_strings":["State Grid Shandong Electric Power Company Heze Power Supply company, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Shandong Electric Power Company Heze Power Supply company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075478067","display_name":"Xiaoguang Yi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoguang Yi","raw_affiliation_strings":["State Grid Shandong Electric Power Company Heze Power Supply company, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Shandong Electric Power Company Heze Power Supply company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101446242","display_name":"Wei Xu","orcid":"https://orcid.org/0000-0001-7387-2342"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Xu","raw_affiliation_strings":["State Grid Shandong Electric Power Company Heze Power Supply company, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Shandong Electric Power Company Heze Power Supply company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102772718","display_name":"Haiqi Li","orcid":"https://orcid.org/0009-0007-3992-9553"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haiqi Li","raw_affiliation_strings":["State Grid Shandong Electric Power Company Heze Power Supply company, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Shandong Electric Power Company Heze Power Supply company, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013816569","display_name":"Jianjun Zhang","orcid":"https://orcid.org/0000-0002-2150-1977"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianjun Zhang","raw_affiliation_strings":["State Grid Shandong Electric Power Company Heze Power Supply company, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Shandong Electric Power Company Heze Power Supply company, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"677","last_page":"681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9995999932289124,"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":0.9995999932289124,"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/T11954","display_name":"Energy Efficiency and Management","score":0.9588000178337097,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9531000256538391,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7156064510345459},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.620581865310669},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5768639445304871},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.5423778295516968},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5317610502243042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.509800374507904},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.46864503622055054},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4600508213043213},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.43990808725357056},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4365270435810089},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43309009075164795},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2062799036502838},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.200687974691391}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156064510345459},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.620581865310669},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5768639445304871},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.5423778295516968},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5317610502243042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.509800374507904},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.46864503622055054},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4600508213043213},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.43990808725357056},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4365270435810089},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43309009075164795},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2062799036502838},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.200687974691391},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical 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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488933.3488961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488933.3488961","pdf_url":null,"source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2543643230","https://openalex.org/W2766879433","https://openalex.org/W2963917834","https://openalex.org/W3104996215","https://openalex.org/W4240772431","https://openalex.org/W4254108216"],"related_works":["https://openalex.org/W4293320219","https://openalex.org/W2953246223","https://openalex.org/W3110074278","https://openalex.org/W4283584549","https://openalex.org/W2554314924","https://openalex.org/W4288256692","https://openalex.org/W2998859928","https://openalex.org/W3156863413","https://openalex.org/W4381885966","https://openalex.org/W2969399009"],"abstract_inverted_index":{"Electricity":[0],"forecasting":[1,16],"has":[2],"an":[3,24],"important":[4,25],"influence":[5],"in":[6,167],"the":[7,15,47,51,68,77,82,87,95,98,104,107,117,120,123,128,131,142,146,150,154,177,183],"development":[8],"of":[9,130,153,171,185],"smart":[10],"grids.":[11],"How":[12],"to":[13,35,39,75,140,148],"improve":[14,149,182],"accuracy":[17,184],"based":[18,60,163],"on":[19,61,127,164],"historical":[20],"electricity":[21,41,56,84,108,186],"data":[22,38,166],"is":[23,65,73,92,101,110,138,160],"research":[26],"hotspot.":[27],"At":[28],"present,":[29],"most":[30],"researches":[31],"use":[32],"neural":[33],"networks":[34],"model":[36,59],"sequence":[37,52,147],"achieve":[40],"prediction.":[42,187],"However,":[43],"these":[44],"methods":[45],"ignore":[46],"potential":[48,143],"correlations":[49],"within":[50,145],"data.":[53],"Therefore,":[54],"a":[55,134,157,168],"consumption":[57],"prediction":[58,109,151],"generative":[62],"adversarial":[63],"network":[64],"proposed.":[66],"First,":[67],"grey":[69],"relational":[70],"analysis":[71,159],"method":[72,179],"used":[74,93,102],"analyze":[76],"feature":[78],"set":[79],"that":[80,176],"affects":[81],"user's":[83],"consumption;":[85],"secondly,":[86],"multi-kernel":[88],"support":[89],"vector":[90],"machine":[91],"as":[94,103],"discriminator,":[96],"and":[97,106,119],"bidirectional":[99,132],"GRU":[100],"generator,":[105],"realized":[111],"through":[112],"mutual":[113],"confrontation":[114],"learning":[115],"between":[116],"generator":[118,124],"discriminator.":[121],"In":[122],"design":[125],"process,":[126],"basis":[129],"GRU,":[133],"multi-head":[135],"attention":[136],"mechanism":[137],"introduced":[139],"capture":[141],"dependencies":[144],"performance":[152],"model.":[155],"Finally,":[156],"verification":[158],"carried":[161],"out":[162],"power":[165],"certain":[169],"region":[170],"China.":[172],"Experimental":[173],"results":[174],"show":[175],"proposed":[178],"can":[180],"effectively":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}