{"id":"https://openalex.org/W4405305927","doi":"https://doi.org/10.1109/dtpi61353.2024.10778827","title":"Improved Prediction of Photovoltaic Power based on LightGBM and Multi-source Meteorological Data","display_name":"Improved Prediction of Photovoltaic Power based on LightGBM and Multi-source Meteorological Data","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4405305927","doi":"https://doi.org/10.1109/dtpi61353.2024.10778827"},"language":"en","primary_location":{"id":"doi:10.1109/dtpi61353.2024.10778827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dtpi61353.2024.10778827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 4th International Conference on Digital Twins and Parallel Intelligence (DTPI)","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/A5100643544","display_name":"Yiwen Wu","orcid":"https://orcid.org/0000-0001-6059-7054"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yiwen Wu","raw_affiliation_strings":["Laboratory Co., Ltd.,Zhejiang Baima Lake,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Laboratory Co., Ltd.,Zhejiang Baima Lake,Hangzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050029948","display_name":"Chao Lu","orcid":"https://orcid.org/0000-0002-7841-7477"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Lu","raw_affiliation_strings":["Laboratory Co., Ltd.,Zhejiang Baima Lake,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Laboratory Co., Ltd.,Zhejiang Baima Lake,Hangzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078937566","display_name":"Peng Hou","orcid":"https://orcid.org/0000-0001-7375-7694"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Hou","raw_affiliation_strings":["Laboratory Co., Ltd.,Zhejiang Baima Lake,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Laboratory Co., Ltd.,Zhejiang Baima Lake,Hangzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011846088","display_name":"Enyu Wang","orcid":"https://orcid.org/0000-0003-0742-4423"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Enyu Wang","raw_affiliation_strings":["Laboratory Co., Ltd.,Zhejiang Baima Lake,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Laboratory Co., Ltd.,Zhejiang Baima Lake,Hangzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073910027","display_name":"Jinkui Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinkui Zhu","raw_affiliation_strings":["Laboratory Co., Ltd.,Zhejiang Baima Lake,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Laboratory Co., Ltd.,Zhejiang Baima Lake,Hangzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056435194","display_name":"Guodong He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guodong He","raw_affiliation_strings":["Laboratory Co., Ltd.,Zhejiang Baima Lake,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Laboratory Co., Ltd.,Zhejiang Baima Lake,Hangzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716873","display_name":"Yang Shen","orcid":"https://orcid.org/0000-0002-1703-7796"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Shen","raw_affiliation_strings":["Laboratory Co., Ltd.,Zhejiang Baima Lake,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Laboratory Co., Ltd.,Zhejiang Baima Lake,Hangzhou,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101663406","display_name":"Wei Lin","orcid":"https://orcid.org/0000-0002-2751-3362"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Lin","raw_affiliation_strings":["Offshore Wind Power Co., Ltd.,Zhejiang Zheneng Jiaxing,Jiaxing,China"],"affiliations":[{"raw_affiliation_string":"Offshore Wind Power Co., Ltd.,Zhejiang Zheneng Jiaxing,Jiaxing,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100643544"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23771356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"270","last_page":"274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14444","display_name":"Power Systems and Renewable Energy","score":0.7379000186920166,"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"}},"topics":[{"id":"https://openalex.org/T14444","display_name":"Power Systems and Renewable Energy","score":0.7379000186920166,"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":0.7746269702911377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5539026260375977},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4204387664794922},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35727447271347046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32588016986846924},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13437584042549133},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10568821430206299}],"concepts":[{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.7746269702911377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5539026260375977},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4204387664794922},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35727447271347046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32588016986846924},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13437584042549133},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10568821430206299},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dtpi61353.2024.10778827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dtpi61353.2024.10778827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 4th International Conference on Digital Twins and Parallel Intelligence (DTPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"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":10,"referenced_works":["https://openalex.org/W3096021165","https://openalex.org/W4200238335","https://openalex.org/W4323030717","https://openalex.org/W4386774397","https://openalex.org/W4387359979","https://openalex.org/W4387490700","https://openalex.org/W4388098431","https://openalex.org/W4391093269","https://openalex.org/W4396841721","https://openalex.org/W6745609711"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2386968573","https://openalex.org/W2395064349","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Predicting":[0],"photovoltaic":[1],"(PV)":[2],"power":[3,28,68],"is":[4],"crucial":[5],"for":[6,65],"optimizing":[7],"grid":[8],"operations,":[9],"achieving":[10],"efficient":[11],"energy":[12,21,78],"management,":[13],"and":[14,42,73],"promoting":[15],"the":[16,33,51],"widespread":[17],"adoption":[18],"of":[19,53],"renewable":[20,77],"sources.":[22],"This":[23],"study":[24],"introduces":[25],"a":[26,62],"PV":[27,67],"prediction":[29],"model":[30],"based":[31],"on":[32],"LightGBM":[34],"algorithm,":[35],"enhanced":[36],"by":[37],"integrating":[38],"multi-source":[39],"meteorological":[40],"data":[41],"feature":[43],"construction":[44],"methods.":[45],"Experiments":[46],"demonstrate":[47],"improved":[48],"accuracy":[49],"with":[50],"incorporation":[52],"these":[54],"newly":[55],"constructed":[56],"features.":[57],"The":[58],"proposed":[59],"method":[60],"provides":[61],"robust":[63],"approach":[64],"distributed":[66],"prediction,":[69],"offering":[70],"significant":[71],"economic":[72],"operational":[74],"benefits":[75],"to":[76],"generation.":[79]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}