{"id":"https://openalex.org/W2967866060","doi":"https://doi.org/10.1109/access.2019.2935273","title":"Day-Ahead Hourly Forecasting of Solar Generation Based on Cluster Analysis and Ensemble Model","display_name":"Day-Ahead Hourly Forecasting of Solar Generation Based on Cluster Analysis and Ensemble Model","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2967866060","doi":"https://doi.org/10.1109/access.2019.2935273","mag":"2967866060"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2935273","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2935273","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08798623.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08798623.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100700051","display_name":"Cheng Pan","orcid":"https://orcid.org/0000-0003-4612-8889"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Pan","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037083362","display_name":"Jie Tan","orcid":"https://orcid.org/0000-0003-3603-6147"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Tan","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100700051"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.6361,"has_fulltext":true,"cited_by_count":64,"citation_normalized_percentile":{"value":0.96714277,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"112921","last_page":"112930"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9990000128746033,"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":0.9927999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6927217245101929},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.6062676310539246},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5970605611801147},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.5147402286529541},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.47370168566703796},{"id":"https://openalex.org/keywords/solar-power","display_name":"Solar power","score":0.4193335175514221},{"id":"https://openalex.org/keywords/numerical-weather-prediction","display_name":"Numerical weather prediction","score":0.41799888014793396},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4126586616039276},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3539679944515228},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3430998921394348},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3109109401702881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21182319521903992},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09436357021331787}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6927217245101929},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.6062676310539246},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5970605611801147},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.5147402286529541},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.47370168566703796},{"id":"https://openalex.org/C2777618391","wikidata":"https://www.wikidata.org/wiki/Q1483757","display_name":"Solar power","level":3,"score":0.4193335175514221},{"id":"https://openalex.org/C147947694","wikidata":"https://www.wikidata.org/wiki/Q837552","display_name":"Numerical weather prediction","level":2,"score":0.41799888014793396},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4126586616039276},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3539679944515228},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3430998921394348},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3109109401702881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21182319521903992},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09436357021331787},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":2,"locations":[{"id":"doi:10.1109/access.2019.2935273","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2935273","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08798623.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c6b9afeccc474a49a96de88b4f712947","is_oa":true,"landing_page_url":"https://doaj.org/article/c6b9afeccc474a49a96de88b4f712947","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 112921-112930 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2935273","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2935273","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08798623.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4909950320","display_name":null,"funder_award_id":"U18012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7544117546","display_name":null,"funder_award_id":"U1801263","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2967866060.pdf","grobid_xml":"https://content.openalex.org/works/W2967866060.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W189666214","https://openalex.org/W858921981","https://openalex.org/W1506806321","https://openalex.org/W1601795611","https://openalex.org/W1790870804","https://openalex.org/W1988989532","https://openalex.org/W2001396749","https://openalex.org/W2011430131","https://openalex.org/W2014454218","https://openalex.org/W2014725748","https://openalex.org/W2027714582","https://openalex.org/W2070826863","https://openalex.org/W2071884028","https://openalex.org/W2073603371","https://openalex.org/W2074088705","https://openalex.org/W2081770709","https://openalex.org/W2111789031","https://openalex.org/W2115294291","https://openalex.org/W2126751256","https://openalex.org/W2132914434","https://openalex.org/W2169156039","https://openalex.org/W2171033594","https://openalex.org/W2244087156","https://openalex.org/W2296521892","https://openalex.org/W2587586954","https://openalex.org/W2760948241","https://openalex.org/W2763128055","https://openalex.org/W2767559196","https://openalex.org/W2786136485","https://openalex.org/W2790672142","https://openalex.org/W2796179209","https://openalex.org/W2801658026","https://openalex.org/W2889323772","https://openalex.org/W2905012744","https://openalex.org/W2906239552","https://openalex.org/W2935631455","https://openalex.org/W2944920662","https://openalex.org/W3126081667","https://openalex.org/W6633435507","https://openalex.org/W6681366080"],"related_works":["https://openalex.org/W2070671604","https://openalex.org/W297089122","https://openalex.org/W2093776584","https://openalex.org/W4309030289","https://openalex.org/W2073918957","https://openalex.org/W2346662913","https://openalex.org/W4287688020","https://openalex.org/W3058630359","https://openalex.org/W3157656048","https://openalex.org/W2024733729"],"abstract_inverted_index":{"Accurate":[0],"solar":[1,24,51,161],"generation":[2,25,52,162],"prediction":[3,40],"is":[4,83,90,121],"of":[5,13,134,149],"great":[6],"significance":[7],"for":[8,85,126],"grid":[9],"dispatching":[10],"and":[11,32,63],"operation":[12],"photovoltaic":[14],"power":[15],"plants.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20,101],"propose":[21],"a":[22,55],"novel":[23],"forecasting":[26],"method":[27,159],"based":[28,49],"on":[29,50,140],"cluster":[30,47],"analysis":[31,48],"ensemble":[33,98],"model.":[34,99],"Two":[35],"common":[36],"ways":[37],"to":[38,53,71,109,123,145],"improve":[39],"accuracy":[41],"are":[42],"adopted.":[43],"We":[44],"first":[45],"conduct":[46],"obtain":[54],"weather":[56,69,87,107,128],"regime,":[57],"which":[58,89,165],"improves":[59],"the":[60,65,74,96,103,111,147,150],"computational":[61],"efficiency":[62],"avoids":[64],"difficulty":[66],"in":[67,73,95,169],"selecting":[68],"variables":[70],"participate":[72],"clustering":[75],"process.":[76],"Then":[77],"random":[78],"forests":[79],"with":[80],"different":[81,86,106],"parameters":[82],"established":[84],"regimes,":[88],"used":[91,122],"as":[92],"component":[93],"models":[94],"followed":[97],"Finally,":[100],"weighted":[102],"predictions":[104],"from":[105],"regimes":[108],"get":[110],"final":[112],"results.":[113],"To":[114],"avoid":[115],"manual":[116],"design":[117],"weights,":[118],"ridge":[119],"regression":[120],"calculate":[124],"weights":[125],"each":[127],"regime":[129],"automatically.":[130],"A":[131],"large":[132],"number":[133],"experiments":[135],"have":[136],"been":[137],"carried":[138],"out":[139],"freely":[141],"available":[142],"data":[143],"sets":[144],"verify":[146],"performance":[148],"proposed":[151],"method.":[152],"The":[153],"experimental":[154],"results":[155],"show":[156],"that":[157],"our":[158],"predicts":[160],"more":[163],"accurately,":[164],"has":[166],"broad":[167],"prospects":[168],"practical":[170],"application.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
