{"id":"https://openalex.org/W4309757866","doi":"https://doi.org/10.1109/ias54023.2022.9939731","title":"Ultra-short-term Power Forecasting of Wind Farm Cluster Based on Spatio-temporal Graph Neural Network Pattern Prediction","display_name":"Ultra-short-term Power Forecasting of Wind Farm Cluster Based on Spatio-temporal Graph Neural Network Pattern Prediction","publication_year":2022,"publication_date":"2022-10-09","ids":{"openalex":"https://openalex.org/W4309757866","doi":"https://doi.org/10.1109/ias54023.2022.9939731"},"language":"en","primary_location":{"id":"doi:10.1109/ias54023.2022.9939731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias54023.2022.9939731","pdf_url":null,"source":{"id":"https://openalex.org/S4363605619","display_name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","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":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","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/A5075893861","display_name":"Hongjun Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088511","display_name":"Inner Mongolia Electric Power (China)","ror":"https://ror.org/0041szh84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210088511"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongjun Zhao","raw_affiliation_strings":["State Grid Xinjiang Electric Power Co., Ltd,Dispatch and Control Center,Urumqi,China,830018"],"affiliations":[{"raw_affiliation_string":"State Grid Xinjiang Electric Power Co., Ltd,Dispatch and Control Center,Urumqi,China,830018","institution_ids":["https://openalex.org/I4210088511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368586","display_name":"Guoqing Li","orcid":"https://orcid.org/0009-0002-3654-6008"},"institutions":[{"id":"https://openalex.org/I4210088511","display_name":"Inner Mongolia Electric Power (China)","ror":"https://ror.org/0041szh84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210088511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Li","raw_affiliation_strings":["State Grid Xinjiang Electric Power Co., Ltd,Dispatch and Control Center,Urumqi,China,830018"],"affiliations":[{"raw_affiliation_string":"State Grid Xinjiang Electric Power Co., Ltd,Dispatch and Control Center,Urumqi,China,830018","institution_ids":["https://openalex.org/I4210088511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091102538","display_name":"Ruifeng Chen","orcid":"https://orcid.org/0000-0002-0466-1266"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifeng Chen","raw_affiliation_strings":["North China Electric Power University,Department of Electrical Engineering,Baoding,China","Department of Electrical Engineering, North China Electric Power University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"North China Electric Power University,Department of Electrical Engineering,Baoding,China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Department of Electrical Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665356","display_name":"Zhao Zhen","orcid":"https://orcid.org/0000-0001-5406-6441"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Zhen","raw_affiliation_strings":["North China Electric Power University,Department of Electrical Engineering,Baoding,China","Department of Electrical Engineering, North China Electric Power University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"North China Electric Power University,Department of Electrical Engineering,Baoding,China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Department of Electrical Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100455868","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0002-7332-9726"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["North China Electric Power University,Department of Electrical Engineering,Baoding,China","Department of Electrical Engineering, North China Electric Power University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"North China Electric Power University,Department of Electrical Engineering,Baoding,China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Department of Electrical Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075893861"],"corresponding_institution_ids":["https://openalex.org/I4210088511"],"apc_list":null,"apc_paid":null,"fwci":1.2876,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78162764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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/T14444","display_name":"Power Systems and Renewable Energy","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"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/T10424","display_name":"Electric Power System Optimization","score":0.9894000291824341,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.664232611656189},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.6147292256355286},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.5630840063095093},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.556352972984314},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5061666369438171},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4981081485748291},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.469463974237442},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4528998136520386},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.42833778262138367},{"id":"https://openalex.org/keywords/power-network","display_name":"Power network","score":0.41246384382247925},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.39336317777633667},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3722638487815857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35590890049934387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16400808095932007},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14878302812576294},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1302836835384369},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10369515419006348}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.664232611656189},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.6147292256355286},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.5630840063095093},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.556352972984314},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5061666369438171},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4981081485748291},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.469463974237442},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4528998136520386},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.42833778262138367},{"id":"https://openalex.org/C2989126829","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Power network","level":4,"score":0.41246384382247925},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.39336317777633667},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3722638487815857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35590890049934387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16400808095932007},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14878302812576294},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1302836835384369},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10369515419006348},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ias54023.2022.9939731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias54023.2022.9939731","pdf_url":null,"source":{"id":"https://openalex.org/S4363605619","display_name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","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":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9200000166893005,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1895396664","https://openalex.org/W1994170512","https://openalex.org/W2036218954","https://openalex.org/W2039306928","https://openalex.org/W2067201152","https://openalex.org/W2327604715","https://openalex.org/W2611034349","https://openalex.org/W2789689614","https://openalex.org/W2805587443","https://openalex.org/W2890324410","https://openalex.org/W2896920734","https://openalex.org/W2897625161","https://openalex.org/W2901964425","https://openalex.org/W2905528277","https://openalex.org/W2909059409","https://openalex.org/W2910279921","https://openalex.org/W2914856364","https://openalex.org/W2915806950","https://openalex.org/W2922403949","https://openalex.org/W2944487131","https://openalex.org/W2946405318","https://openalex.org/W2963182713","https://openalex.org/W2964321699","https://openalex.org/W2974181587","https://openalex.org/W2989725176","https://openalex.org/W2998188743","https://openalex.org/W2999868636","https://openalex.org/W3000471799","https://openalex.org/W3005289256","https://openalex.org/W3015024348","https://openalex.org/W3016208458","https://openalex.org/W3024158773","https://openalex.org/W3043853857","https://openalex.org/W3103720336","https://openalex.org/W3117498197","https://openalex.org/W3153010532","https://openalex.org/W3162769499","https://openalex.org/W3196699852","https://openalex.org/W3197045171","https://openalex.org/W6720006811","https://openalex.org/W6785773631"],"related_works":["https://openalex.org/W2370351027","https://openalex.org/W2371877363","https://openalex.org/W2381994338","https://openalex.org/W2354179045","https://openalex.org/W2352520215","https://openalex.org/W2967825419","https://openalex.org/W2166446783","https://openalex.org/W2394285654","https://openalex.org/W2904567153","https://openalex.org/W2372028498"],"abstract_inverted_index":{"Timely":[0],"and":[1,24,45],"accurate":[2,58],"wind":[3,49,91,131],"farm":[4,132],"cluster":[5,75,96,133],"power":[6,17,36,66,97,116,134],"prediction":[7,29,37,67,72,98],"is":[8,53,124],"of":[9,15,26,35,73,104,129],"great":[10],"significance":[11],"to":[12,20,55,85,110,126],"the":[13,16,21,33,43,71,74,80,87,95,112],"stability":[14],"system.":[18],"Due":[19],"strong":[22],"randomness":[23],"uncertainty":[25],"wind,":[27],"traditional":[28],"methods":[30,41,106,128],"cannot":[31],"meet":[32],"requirements":[34],"tasks.":[38],"Moreover,":[39],"many":[40],"ignore":[42],"temporal":[44],"spatial":[46,113],"correlation":[47,89,114],"between":[48,90,115],"farms,":[50],"so":[51],"it":[52],"difficult":[54],"achieve":[56],"more":[57],"prediction.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"propose":[64],"a":[65,101],"method":[68,123],"based":[69],"on":[70,100],"output":[76],"pattern.":[77],"We":[78,93],"use":[79],"spatio-temporal":[81,88],"graph":[82,102],"neural":[83],"network":[84],"extract":[86],"farms.":[92,117],"base":[94],"problem":[99],"instead":[103],"using":[105],"such":[107],"as":[108],"griding":[109],"simplify":[111],"Experiments":[118],"show":[119],"that":[120],"our":[121],"proposed":[122],"superior":[125],"other":[127],"real":[130],"dataset.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-28T02:08:47.144824","created_date":"2025-10-10T00:00:00"}