{"id":"https://openalex.org/W4389230010","doi":"https://doi.org/10.1109/ccdc58219.2023.10327305","title":"Day-Ahead Correction of Numerical Weather Prediction Solar Irradiance Forecasts Based on Similar Day Analysis","display_name":"Day-Ahead Correction of Numerical Weather Prediction Solar Irradiance Forecasts Based on Similar Day Analysis","publication_year":2023,"publication_date":"2023-05-20","ids":{"openalex":"https://openalex.org/W4389230010","doi":"https://doi.org/10.1109/ccdc58219.2023.10327305"},"language":"en","primary_location":{"id":"doi:10.1109/ccdc58219.2023.10327305","doi":"https://doi.org/10.1109/ccdc58219.2023.10327305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccdc58219.2023.10327305","pdf_url":null,"source":{"id":"https://openalex.org/S4363607715","display_name":"Chinese Control and Decision Conference (CCDC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2023 35th Chinese Control and Decision Conference (CCDC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5024162489","display_name":"Weijing Dou","orcid":"https://orcid.org/0000-0001-8242-8198","observed_orcids":["https://orcid.org/0000-0001-8242-8198"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijing Dou","raw_affiliation_strings":["Southeast University,School of Automation,Nanjing,China","School of Automation, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,School of Automation,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436963","display_name":"Kai Wang","orcid":"https://orcid.org/0000-0001-9609-5179","observed_orcids":["https://orcid.org/0000-0001-9609-5179"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Wang","raw_affiliation_strings":["Southeast University,School of Automation,Nanjing,China","School of Automation, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,School of Automation,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026746377","display_name":"Shuo Shan","orcid":"https://orcid.org/0000-0002-5240-5208","observed_orcids":["https://orcid.org/0000-0002-5240-5208"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Shan","raw_affiliation_strings":["Southeast University,School of Automation,Nanjing,China","School of Automation, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,School of Automation,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031077283","display_name":"Kanjian Zhang","orcid":"https://orcid.org/0000-0003-0914-7685","observed_orcids":["https://orcid.org/0000-0003-0914-7685"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kanjian Zhang","raw_affiliation_strings":["Southeast University,School of Automation,Nanjing,China","School of Automation, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,School of Automation,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051266803","display_name":"Haikun Wei","orcid":"https://orcid.org/0000-0002-6667-3166","observed_orcids":["https://orcid.org/0000-0002-6667-3166"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haikun Wei","raw_affiliation_strings":["Southeast University,School of Automation,Nanjing,China","School of Automation, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,School of Automation,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":4.0931,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.94013227,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2554","last_page":"2559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":1.0,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.0,"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/T10905","display_name":"Solar Thermal and Photovoltaic Systems","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/solar-irradiance-forecasting","display_name":"solar irradiance forecasting","score":0.9290000200271606},{"id":"https://openalex.org/keywords/numerical-weather-prediction","display_name":"numerical weather prediction","score":0.7459999918937683},{"id":"https://openalex.org/keywords/global-solar-radiation","display_name":"global radiation","score":0.8679999709129333},{"id":"https://openalex.org/keywords/dynamic-time-window","display_name":"dynamic time window","score":0.8410000205039978},{"id":"https://openalex.org/keywords/generalized-regression-neural-network","display_name":"generalized regression neural network","score":0.9919999837875366},{"id":"https://openalex.org/keywords/photovoltaic-power-generation-forecasting","display_name":"photovoltaic power generation forecasting","score":0.8669999837875366},{"id":"https://openalex.org/keywords/forecast-error-correction","display_name":"forecast error correction","score":0.8320000171661377}],"concepts":[{"id":"https://openalex.org/C147947694","wikidata":"https://www.wikidata.org/wiki/Q837552","display_name":"Numerical weather prediction","level":2,"score":0.8464365601539612},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6385921239852905},{"id":"https://openalex.org/C9695528","wikidata":"https://www.wikidata.org/wiki/Q7556707","display_name":"Solar irradiance","level":2,"score":0.5856263637542725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5604184865951538},{"id":"https://openalex.org/C46423501","wikidata":"https://www.wikidata.org/wiki/Q830654","display_name":"Irradiance","level":2,"score":0.5184797644615173},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.500072717666626},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.47248879075050354},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.46541833877563477},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.4484005570411682},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.44729429483413696},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.41132330894470215},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4110771715641022},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22172817587852478},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21726810932159424},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13699400424957275},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09317225217819214},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06918546557426453},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/ccdc58219.2023.10327305","doi":"https://doi.org/10.1109/ccdc58219.2023.10327305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccdc58219.2023.10327305","pdf_url":null,"source":{"id":"https://openalex.org/S4363607715","display_name":"Chinese Control and Decision Conference (CCDC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2023 35th Chinese Control and Decision Conference (CCDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.75,"id":"https://metadata.un.org/sdg/7"},{"display_name":"Climate action","score":0.685699999332428,"id":"https://metadata.un.org/sdg/13"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1120922828","https://openalex.org/W1790870804","https://openalex.org/W1909551488","https://openalex.org/W1966635871","https://openalex.org/W1974829837","https://openalex.org/W2014454218","https://openalex.org/W2030034065","https://openalex.org/W2039954068","https://openalex.org/W2069563189","https://openalex.org/W2170860720","https://openalex.org/W2226761808","https://openalex.org/W2294198843","https://openalex.org/W2569349941","https://openalex.org/W2590910929","https://openalex.org/W2621024095","https://openalex.org/W2750443913","https://openalex.org/W2757262783","https://openalex.org/W2790964730","https://openalex.org/W2792921542","https://openalex.org/W2804705402","https://openalex.org/W2900094457","https://openalex.org/W2915610351","https://openalex.org/W2964446542","https://openalex.org/W2965217691","https://openalex.org/W2968516859","https://openalex.org/W2969752514","https://openalex.org/W3022700314","https://openalex.org/W3026665694","https://openalex.org/W3117620741","https://openalex.org/W3147053664","https://openalex.org/W3157421212","https://openalex.org/W3198628050"],"related_works":["https://openalex.org/W4394972360","https://openalex.org/W4401823267","https://openalex.org/W4407577853","https://openalex.org/W3166987139","https://openalex.org/W7221314793","https://openalex.org/W4362585853","https://openalex.org/W1124819180","https://openalex.org/W4411610351","https://openalex.org/W4390176297","https://openalex.org/W7166547790"],"abstract_inverted_index":{"Solar":[0],"forecast":[1,121,175],"based":[2],"on":[3],"Numerical":[4],"weather":[5,129],"prediction":[6],"(NWP)":[7],"is":[8,75,109],"widely":[9],"recognized":[10],"and":[11,16,143,164],"applied":[12],"for":[13,64],"a":[14,54,100],"safer":[15],"more":[17,173],"sufficient":[18],"usage":[19],"of":[20,32,40,49,61,91,99,119,176],"solar":[21],"energy":[22],"sources":[23],"at":[24],"present.":[25],"However,":[26],"there":[27],"are":[28,131],"many":[29],"negative":[30],"cases":[31],"forecasts":[33],"due":[34],"to":[35,45,77,133],"the":[36,47,79,92,96,115,135,153,161,168],"unescapable":[37],"inherent":[38],"errors":[39],"numerical":[41],"techniques.":[42],"Thus,":[43],"aiming":[44],"correct":[46],"error":[48,141,146],"NWP,":[50],"this":[51],"paper":[52],"proposes":[53],"day-ahead":[55,116],"correction":[56,117,170],"model,":[57],"which":[58,112],"makes":[59],"use":[60],"actual":[62,162],"observation,":[63],"correcting":[65],"NWP":[66,165],"global":[67],"horizontal":[68],"irradiance":[69],"(GHI)":[70],"forecast.":[71],"A":[72],"dynamic":[73],"time-window":[74],"adopted":[76],"select":[78],"similar":[80,89],"day,":[81],"whose":[82],"size":[83],"can":[84,113],"be":[85],"adjusted":[86],"adaptively.":[87],"The":[88,125,148],"days":[90],"corrected":[93],"day":[94],"constitute":[95],"training":[97],"set":[98],"generalized":[101],"regression":[102],"neural":[103],"network":[104],"(GRNN)":[105],"model.":[106],"This":[107],"work":[108],"well":[110],"demand-oriented,":[111],"improve":[114],"results":[118,149],"GHI":[120],"with":[122,139],"15-minute":[123],"interval.":[124],"data":[126],"under":[127],"different":[128],"conditions":[130],"selected":[132],"test":[134],"model":[136,171],"performance,":[137],"evaluating":[138],"root-mean-square":[140],"(RMSE)":[142],"mean":[144],"absolute":[145],"(MAE).":[147],"clearly":[150],"demonstrate":[151],"that":[152],"accuracy":[154],"has":[155],"been":[156],"effectively":[157],"improved":[158],"by":[159],"combining":[160],"observation":[163],"data.":[166],"Moreover,":[167],"proposed":[169],"allows":[172],"accurate":[174],"photovoltaic":[177],"(PV)":[178],"power":[179],"generation.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-12-02T00:00:00"}
