{"id":"https://openalex.org/W4404437275","doi":"https://doi.org/10.1186/s40537-024-01037-x","title":"Seasonal short-term photovoltaic power prediction based on GSK\u2013BiGRU\u2013XGboost considering correlation of meteorological factors","display_name":"Seasonal short-term photovoltaic power prediction based on GSK\u2013BiGRU\u2013XGboost considering correlation of meteorological factors","publication_year":2024,"publication_date":"2024-11-16","ids":{"openalex":"https://openalex.org/W4404437275","doi":"https://doi.org/10.1186/s40537-024-01037-x"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-024-01037-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-01037-x","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-01037-x","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-01037-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060762386","display_name":"Guojiang Xiong","orcid":"https://orcid.org/0000-0002-8913-7315"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guojiang Xiong","raw_affiliation_strings":["College of Electrical Engineering, Guizhou University, Guiyang, 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Guizhou University, Guiyang, 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101667422","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0002-3192-0358"},"institutions":[{"id":"https://openalex.org/I4210145500","display_name":"Guizhou Electric Power Design and Research Institute","ror":"https://ror.org/055f13495","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145500"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Duyun Power Supply Bureau of Guizhou, Power Grid Co., Ltd., Duyun, 558000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duyun Power Supply Bureau of Guizhou, Power Grid Co., Ltd., Duyun, 558000, China","institution_ids":["https://openalex.org/I4210145500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012336838","display_name":"Xiaofan Fu","orcid":"https://orcid.org/0000-0002-1858-1750"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofan Fu","raw_affiliation_strings":["College of Electrical Engineering, Guizhou University, Guiyang, 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Guizhou University, Guiyang, 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069910979","display_name":"Jun Chen","orcid":"https://orcid.org/0000-0002-0679-496X"},"institutions":[{"id":"https://openalex.org/I177721651","display_name":"Oakland University","ror":"https://ror.org/01ythxj32","country_code":"US","type":"education","lineage":["https://openalex.org/I177721651"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Oakland University, Rochester, MI, 48309, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Oakland University, Rochester, MI, 48309, USA","institution_ids":["https://openalex.org/I177721651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072096736","display_name":"Ali Wagdy Mohamed","orcid":"https://orcid.org/0000-0002-5895-2632"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ali Wagdy Mohamed","raw_affiliation_strings":["Operations Research Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, 12613, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Operations Research Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, 12613, Egypt","institution_ids":["https://openalex.org/I145487455"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060762386"],"corresponding_institution_ids":["https://openalex.org/I178232147"],"apc_list":{"value":2090,"currency":"USD","value_usd":2090},"apc_paid":{"value":2090,"currency":"USD","value_usd":2090},"fwci":1.8406,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.873855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9957000017166138,"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":0.9900000095367432,"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/term","display_name":"Term (time)","score":0.8309692740440369},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.6455010175704956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6391589045524597},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5520183444023132},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.44068998098373413},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.39564669132232666},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.37150466442108154},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3227066993713379},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15464147925376892},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.11525508761405945},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07758685946464539}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.8309692740440369},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.6455010175704956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6391589045524597},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5520183444023132},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.44068998098373413},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.39564669132232666},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.37150466442108154},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3227066993713379},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15464147925376892},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.11525508761405945},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07758685946464539},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-024-01037-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-01037-x","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-01037-x","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3b8d1a791d1b4b0084f7f01fd56bcafc","is_oa":true,"landing_page_url":"https://doaj.org/article/3b8d1a791d1b4b0084f7f01fd56bcafc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 11, Iss 1, Pp 1-19 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-024-01037-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-01037-x","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-01037-x","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1113014984","display_name":null,"funder_award_id":"QianJiaoJi[2022]043","funder_id":"https://openalex.org/F4320323236","funder_display_name":"Natural Science Foundation of Guizhou Province"},{"id":"https://openalex.org/G1699876875","display_name":null,"funder_award_id":"QiankeheBasic-ZK[2022]General121","funder_id":"https://openalex.org/F4320323236","funder_display_name":"Natural Science Foundation of Guizhou Province"},{"id":"https://openalex.org/G3751031576","display_name":null,"funder_award_id":"52367006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6665137914","display_name":null,"funder_award_id":"52167007","funder_id":"https://openalex.org/F4320323236","funder_display_name":"Natural Science Foundation of Guizhou Province"},{"id":"https://openalex.org/G7962871530","display_name":null,"funder_award_id":"52167007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323236","display_name":"Natural Science Foundation of Guizhou Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404437275.pdf","grobid_xml":"https://content.openalex.org/works/W4404437275.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W317957491","https://openalex.org/W2760948241","https://openalex.org/W2912623183","https://openalex.org/W2940444961","https://openalex.org/W2995428710","https://openalex.org/W2997135317","https://openalex.org/W3040733061","https://openalex.org/W3042073451","https://openalex.org/W3104174028","https://openalex.org/W3106225487","https://openalex.org/W3114451272","https://openalex.org/W3168310736","https://openalex.org/W3180119050","https://openalex.org/W3180765063","https://openalex.org/W3215548019","https://openalex.org/W4200550314","https://openalex.org/W4200625652","https://openalex.org/W4205276539","https://openalex.org/W4213197372","https://openalex.org/W4214807822","https://openalex.org/W4225794091","https://openalex.org/W4282001178","https://openalex.org/W4295708763","https://openalex.org/W4313471430","https://openalex.org/W4317884332","https://openalex.org/W4319347987","https://openalex.org/W4323033125","https://openalex.org/W4327905056","https://openalex.org/W4377139666","https://openalex.org/W4379047011","https://openalex.org/W4380239011","https://openalex.org/W4384502033","https://openalex.org/W4390913550","https://openalex.org/W4394760001"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2386968573","https://openalex.org/W2395064349","https://openalex.org/W2034374297","https://openalex.org/W2766130412","https://openalex.org/W2382628689","https://openalex.org/W2526730640","https://openalex.org/W2351171996","https://openalex.org/W2983370139"],"abstract_inverted_index":{"The":[0],"intermittency":[1],"and":[2,69,78,88,128,168,186],"randomness":[3],"of":[4,19,27,63,105,140,146,160,181],"photovoltaic":[5,28,52],"power":[6,20,53],"present":[7],"different":[8,64,152,166,172],"characteristics":[9],"due":[10],"to":[11,46,51,54,93,99,121,136,198],"seasonal":[12,126,141],"variations,":[13],"which":[14,183],"greatly":[15],"affects":[16],"the":[17,24,40,56,60,70,85,95,106,138,144,158,203],"reliability":[18],"supply.":[21],"To":[22,156],"boost":[23],"prediction":[25,32,61,179],"accuracy":[26,180],"power,":[29],"a":[30,177,199],"short-term":[31],"combination":[33,96,169],"model":[34,130],"named":[35],"GSK\u2013BiGRU\u2013XGboost":[36,133,175],"is":[37,44,119,154,163,184],"proposed.":[38],"First,":[39],"Pearson":[41],"correlation":[42,90],"coefficient":[43,104],"adopted":[45],"determine":[47],"highly-correlated":[48],"meteorological":[49,148],"factors":[50],"construct":[55,94],"input":[57],"features.":[58],"Second,":[59],"errors":[62,87],"single":[65,167],"models":[66,127,170],"are":[67,91,134],"compared,":[68],"two,":[71],"i.e.,":[72],"Bidirectional":[73],"Gated":[74],"Recurrent":[75],"Unit":[76],"(BiGRU)":[77],"Extreme":[79],"Gradient":[80],"Boosting":[81],"(XGboost)":[82],"that":[83],"have":[84],"smallest":[86],"lowest":[89],"selected":[92],"model.":[97],"Third,":[98],"achieve":[100],"an":[101,108],"appropriate":[102],"weight":[103],"model,":[107],"improved":[109],"gaining":[110],"sharing":[111],"knowledge-based":[112],"algorithm":[113],"(GSK)":[114],"based":[115,131],"on":[116,132],"parameter":[117],"adaption":[118],"designed":[120],"optimize":[122],"it":[123,162],"effectively.":[124],"Fourth,":[125],"year-round":[129],"compared":[135,164],"reveal":[137],"effect":[139],"characteristics.":[142],"Finally,":[143],"influence":[145],"historical":[147],"data":[149],"window":[150],"with":[151,165],"steps":[153],"investigated.":[155],"verify":[157],"performance":[159],"GSK\u2013BiGRU\u2013XGboost,":[161],"under":[171],"weather":[173],"conditions.":[174],"achieves":[176],"high":[178],"97.85%,":[182],"9.46%":[185],"12.43%":[187],"higher":[188],"than":[189],"its":[190],"member":[191],"models,":[192],"respectively.":[193],"Besides,":[194],"GSK":[195],"can":[196],"lead":[197],"1.71%":[200],"improvement":[201],"in":[202],"accuracy.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}