{"id":"https://openalex.org/W3202197864","doi":"https://doi.org/10.1109/dtpi52967.2021.9540210","title":"Digital Twin Modeling for Photovoltaic Panels Based on Hybrid Neural Network","display_name":"Digital Twin Modeling for Photovoltaic Panels Based on Hybrid Neural Network","publication_year":2021,"publication_date":"2021-07-15","ids":{"openalex":"https://openalex.org/W3202197864","doi":"https://doi.org/10.1109/dtpi52967.2021.9540210","mag":"3202197864"},"language":"en","primary_location":{"id":"doi:10.1109/dtpi52967.2021.9540210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dtpi52967.2021.9540210","pdf_url":null,"source":{"id":"https://openalex.org/S4306498799","display_name":"2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100729344","display_name":"Guobin Zhang","orcid":"https://orcid.org/0000-0003-2249-7786"},"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"]},{"id":"https://openalex.org/I4392738113","display_name":"China Electric Power Research Institute","ror":"https://ror.org/05ehpzy81","country_code":null,"type":"facility","lineage":["https://openalex.org/I17442442","https://openalex.org/I4392738113"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guobin Zhang","raw_affiliation_strings":["China Electric Power Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Electric Power Research Institute, Beijing, China","institution_ids":["https://openalex.org/I153473198","https://openalex.org/I4392738113"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740743","display_name":"Xinying Wang","orcid":"https://orcid.org/0000-0002-6663-9232"},"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"]},{"id":"https://openalex.org/I4392738113","display_name":"China Electric Power Research Institute","ror":"https://ror.org/05ehpzy81","country_code":null,"type":"facility","lineage":["https://openalex.org/I17442442","https://openalex.org/I4392738113"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinying Wang","raw_affiliation_strings":["China Electric Power Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Electric Power Research Institute, Beijing, China","institution_ids":["https://openalex.org/I153473198","https://openalex.org/I4392738113"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"90","last_page":"93"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9988999962806702,"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/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9988999962806702,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9951000213623047,"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/T12838","display_name":"Photovoltaic Systems and Sustainability","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.7768053412437439},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.632159948348999},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5979385375976562},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.5320561528205872},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4205731153488159},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.367053359746933},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.3423318862915039},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19416239857673645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18739262223243713},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1715526282787323}],"concepts":[{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.7768053412437439},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.632159948348999},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5979385375976562},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.5320561528205872},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4205731153488159},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.367053359746933},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3423318862915039},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19416239857673645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18739262223243713},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1715526282787323},{"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/dtpi52967.2021.9540210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dtpi52967.2021.9540210","pdf_url":null,"source":{"id":"https://openalex.org/S4306498799","display_name":"2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1970832389","https://openalex.org/W2144578279","https://openalex.org/W2367265050","https://openalex.org/W2386106776","https://openalex.org/W2435838480","https://openalex.org/W2489777820","https://openalex.org/W2688266972","https://openalex.org/W2763128055","https://openalex.org/W2883169763","https://openalex.org/W2883190781","https://openalex.org/W2898386168","https://openalex.org/W2922374245","https://openalex.org/W2962813473","https://openalex.org/W2966524519","https://openalex.org/W2990064391"],"related_works":["https://openalex.org/W2386968573","https://openalex.org/W2395064349","https://openalex.org/W2034374297","https://openalex.org/W821205410","https://openalex.org/W2382628689","https://openalex.org/W2766130412","https://openalex.org/W2526730640","https://openalex.org/W2351171996","https://openalex.org/W2983370139","https://openalex.org/W2612874294"],"abstract_inverted_index":{"An":[0],"data-driven":[1],"approach":[2],"for":[3,54],"Photovoltaic(PV)":[4],"panel":[5,86],"digital":[6,70,93,112],"twin":[7,71,94,113],"is":[8,19,75,99,114,134],"proposed":[9],"and":[10,35,39,87,101],"practised":[11],"in":[12,89],"this":[13],"paper.":[14],"A":[15],"hybrid":[16],"neural":[17],"network":[18],"applied":[20,88],"to":[21,41,46,67,83,116],"simulate":[22],"PV":[23,85,118],"power-voltage":[24,119],"characteristics.":[25],"Various":[26],"environmental":[27],"features":[28],"such":[29],"as":[30,57,59,125],"uneven":[31],"lighting":[32,55,123],"conditions,":[33],"temperature":[34],"humidity":[36],"are":[37,65],"selected":[38],"modified":[40],"manifest":[42],"the":[43,47,69,90,104,111,126,130],"physical":[44],"mechanism":[45],"utmost":[48],"extent.":[49],"Additionally":[50],"a":[51],"reduction":[52],"method":[53],"conditions":[56,124],"well":[58],"an":[60,78],"improved":[61],"genetic":[62],"coding":[63],"scheme":[64],"adopted":[66],"optimize":[68],"parameters.":[72],"Above-mentioned":[73],"data":[74],"acquired":[76],"from":[77],"IoT":[79],"management":[80],"platform":[81],"linked":[82],"specific":[84],"practice":[91],"of":[92,97,129],"modeling,":[95],"performance":[96],"which":[98],"verified":[100],"discussed":[102],"at":[103],"very":[105],"end.":[106],"The":[107],"conclusions":[108],"show":[109],"that":[110],"able":[115],"restore":[117],"characteristics":[120],"under":[121],"various":[122],"average":[127],"error":[128],"testing":[131],"simulation":[132],"results":[133],"within":[135],"6%.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}