{"id":"https://openalex.org/W4412129530","doi":"https://doi.org/10.1109/ias62731.2025.11061420","title":"Optimization Strategy for Ultra-short-term Photovoltaic Power Forecasting based on the Fusion of Day-ahead Forecast and Intraday Real-time Information","display_name":"Optimization Strategy for Ultra-short-term Photovoltaic Power Forecasting based on the Fusion of Day-ahead Forecast and Intraday Real-time Information","publication_year":2025,"publication_date":"2025-06-15","ids":{"openalex":"https://openalex.org/W4412129530","doi":"https://doi.org/10.1109/ias62731.2025.11061420"},"language":"en","primary_location":{"id":"doi:10.1109/ias62731.2025.11061420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias62731.2025.11061420","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":"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/A5114879050","display_name":"Cheng Jifeng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Jifeng","raw_affiliation_strings":["Electric Power Science Research State Grid Liaoning Eleetric Power Co., Ltd,Shenyang,China,110000"],"affiliations":[{"raw_affiliation_string":"Electric Power Science Research State Grid Liaoning Eleetric Power Co., Ltd,Shenyang,China,110000","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100944920","display_name":"Junjie Sun","orcid":"https://orcid.org/0009-0004-9033-5214"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sun Junjie","raw_affiliation_strings":["Electric Power Science Research State Grid Liaoning Eleetric Power Co., Ltd,Shenyang,China,110000"],"affiliations":[{"raw_affiliation_string":"Electric Power Science Research State Grid Liaoning Eleetric Power Co., Ltd,Shenyang,China,110000","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336164","display_name":"Li Wang","orcid":"https://orcid.org/0000-0003-0661-9149"},"institutions":[{"id":"https://openalex.org/I4210164898","display_name":"Beijing Chaoyang Emergency Medical Center","ror":"https://ror.org/05anb7a53","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210164898"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Li","raw_affiliation_strings":["State Grid Chaoyang Power Supply Company,Chaoyang,China,122000"],"affiliations":[{"raw_affiliation_string":"State Grid Chaoyang Power Supply Company,Chaoyang,China,122000","institution_ids":["https://openalex.org/I4210164898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118867762","display_name":"Wu Zhenghao","orcid":null},"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":"Wu Zhenghao","raw_affiliation_strings":["North China Electric Power University,Department of Electrical Engineering,Baoding,China,071003"],"affiliations":[{"raw_affiliation_string":"North China Electric Power University,Department of Electrical Engineering,Baoding,China,071003","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100745216","display_name":"Yuqing Wang","orcid":"https://orcid.org/0000-0002-9054-0259"},"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":"Wang Yuqing","raw_affiliation_strings":["North China Electric Power University,Department of Electrical Engineering,Baoding,China,071003"],"affiliations":[{"raw_affiliation_string":"North China Electric Power University,Department of Electrical Engineering,Baoding,China,071003","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100417192","display_name":"Wang Fei","orcid":"https://orcid.org/0000-0002-1084-0690"},"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":"Wang Fei","raw_affiliation_strings":["North China Electric Power University,Department of Electrical Engineering,Baoding,China,071003"],"affiliations":[{"raw_affiliation_string":"North China Electric Power University,Department of Electrical Engineering,Baoding,China,071003","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5114879050"],"corresponding_institution_ids":["https://openalex.org/I4210126065"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18322933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9700000286102295,"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":0.9700000286102295,"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":0.9564999938011169,"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/T14444","display_name":"Power Systems and Renewable Energy","score":0.9301999807357788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.7170571684837341},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6815878748893738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5595114827156067},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5009400844573975},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.46419915556907654},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4585203528404236},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35362309217453003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2539898455142975},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20340821146965027},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1251152753829956}],"concepts":[{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.7170571684837341},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6815878748893738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5595114827156067},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5009400844573975},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.46419915556907654},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4585203528404236},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35362309217453003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2539898455142975},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20340821146965027},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1251152753829956},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ias62731.2025.11061420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias62731.2025.11061420","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":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W3043243380","https://openalex.org/W3094036202","https://openalex.org/W3153010532","https://openalex.org/W3217367142","https://openalex.org/W4200145902","https://openalex.org/W4312389336","https://openalex.org/W4366814100","https://openalex.org/W4384156620","https://openalex.org/W4389334956","https://openalex.org/W4396754396","https://openalex.org/W4401043797","https://openalex.org/W4404916270","https://openalex.org/W4405336952","https://openalex.org/W4406722119","https://openalex.org/W4406861589"],"related_works":["https://openalex.org/W2386968573","https://openalex.org/W2395064349","https://openalex.org/W2034374297","https://openalex.org/W2766130412","https://openalex.org/W2382628689","https://openalex.org/W2351171996","https://openalex.org/W2983370139","https://openalex.org/W2057543190","https://openalex.org/W2355579697","https://openalex.org/W4360871138"],"abstract_inverted_index":{"High-precision":[0],"photovoltaic":[1,22,179],"ultra-short-term":[2,31,171],"power":[3,19,29,50,97,116,172],"forecasting":[4,32,39,88,138,156],"holds":[5],"significant":[6,36],"theoretical":[7],"importance":[8],"and":[9,16,56,76,109,113,188],"practical":[10],"value":[11],"in":[12,38,132,140,181],"enhancing":[13],"the":[14,27,46,49,53,57,61,110,130,133,137,144,148,155,159,167,185],"stability":[15],"reliability":[17],"of":[18,52,60,118,136,147,170],"systems":[20],"under":[21,41],"grid":[23],"connection":[24],"conditions.":[25],"However,":[26],"traditional":[28],"extrapolation-based":[30],"model":[33,62,89],"experiences":[34],"a":[35,69,82,91,177],"decline":[37],"performance":[40],"transitional":[42],"weather":[43],"conditions,":[44],"as":[45],"correlation":[47],"between":[48],"sequence":[51],"forecast":[54,115,135,150,162],"period":[55,59],"input":[58],"is":[63,126,164],"reduced.":[64],"Therefore,":[65],"this":[66],"study":[67],"proposes":[68],"novel":[70],"optimization":[71],"method":[72],"integrating":[73],"day-ahead":[74,114,134,149,161],"forecasts":[75],"intraday":[77,107],"real-time":[78,106],"data.":[79,98],"First,":[80],"establish":[81],"long":[83],"short-term":[84],"memory":[85],"neural":[86],"network":[87],"with":[90],"two-stage":[92],"architecture":[93],"using":[94],"historical":[95,100],"meteorological":[96],"Secondly,":[99],"similar":[101,120],"days":[102,121],"are":[103,122],"determined":[104],"through":[105],"measurements,":[108],"actual":[111],"measured":[112],"information":[117,125],"these":[119],"obtained.":[123],"This":[124],"used":[127],"to":[128,142],"correct":[129],"errors":[131],"period,":[139],"order":[141],"reduce":[143],"inherent":[145],"bias":[146],"for":[151],"specific":[152],"periods":[153],"during":[154],"period.":[157],"Thus,":[158],"corrected":[160],"data":[163],"integrated":[165],"into":[166],"modeling":[168],"framework":[169],"forecasting.":[173],"Case":[174],"studies":[175],"at":[176],"large-scale":[178],"plant":[180],"Inner":[182],"Mongolia":[183],"demonstrate":[184],"method's":[186],"effectiveness":[187],"superiority.":[189]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
