{"id":"https://openalex.org/W4384916862","doi":"https://doi.org/10.1109/tii.2023.3285048","title":"A Neural Network-Aided Functional Model of Photovoltaic Arrays for a Wide Range of Atmospheric Conditions","display_name":"A Neural Network-Aided Functional Model of Photovoltaic Arrays for a Wide Range of Atmospheric Conditions","publication_year":2023,"publication_date":"2023-07-19","ids":{"openalex":"https://openalex.org/W4384916862","doi":"https://doi.org/10.1109/tii.2023.3285048"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2023.3285048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3285048","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5031677319","display_name":"Alejandro Angulo","orcid":"https://orcid.org/0000-0002-1695-5106"},"institutions":[{"id":"https://openalex.org/I75778554","display_name":"Federico Santa Mar\u00eda Technical University","ror":"https://ror.org/05510vn56","country_code":"CL","type":"education","lineage":["https://openalex.org/I75778554"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Alejandro Angulo","raw_affiliation_strings":["Department of Electrical Engineering, Universidad T&#x00E9;cnica Federico Santa Mar&#x00ED;a, Valpara&#x00ED;so, Chile"],"raw_orcid":"https://orcid.org/0000-0002-1695-5106","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universidad T&#x00E9;cnica Federico Santa Mar&#x00ED;a, Valpara&#x00ED;so, Chile","institution_ids":["https://openalex.org/I75778554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010537595","display_name":"Miguel Huerta","orcid":"https://orcid.org/0000-0002-0231-9184"},"institutions":[{"id":"https://openalex.org/I75778554","display_name":"Federico Santa Mar\u00eda Technical University","ror":"https://ror.org/05510vn56","country_code":"CL","type":"education","lineage":["https://openalex.org/I75778554"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Miguel Huerta","raw_affiliation_strings":["Department of Electrical Engineering, Universidad T&#x00E9;cnica Federico Santa Mar&#x00ED;a, Valpara&#x00ED;so, Chile"],"raw_orcid":"https://orcid.org/0000-0002-0231-9184","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universidad T&#x00E9;cnica Federico Santa Mar&#x00ED;a, Valpara&#x00ED;so, Chile","institution_ids":["https://openalex.org/I75778554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072857780","display_name":"Fernando Mancilla\u2013David","orcid":"https://orcid.org/0000-0003-4947-8956"},"institutions":[{"id":"https://openalex.org/I921990950","display_name":"University of Colorado Denver","ror":"https://ror.org/02hh7en24","country_code":"US","type":"education","lineage":["https://openalex.org/I921990950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fernando Mancilla-David","raw_affiliation_strings":["Department of Electrical Engineering, University of Colorado Denver, Denver, CO, USA"],"raw_orcid":"https://orcid.org/0000-0003-4947-8956","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Colorado Denver, Denver, CO, USA","institution_ids":["https://openalex.org/I921990950"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031677319"],"corresponding_institution_ids":["https://openalex.org/I75778554"],"apc_list":null,"apc_paid":null,"fwci":0.5521,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.57390527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"20","issue":"2","first_page":"2487","last_page":"2496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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":0.9865000247955322,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.560617983341217},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5088282227516174},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49631935358047485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40441831946372986},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1704026758670807},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.11934766173362732}],"concepts":[{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.560617983341217},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5088282227516174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49631935358047485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40441831946372986},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1704026758670807},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.11934766173362732}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2023.3285048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3285048","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2022744556","display_name":null,"funder_award_id":"1210625","funder_id":"https://openalex.org/F4320319253","funder_display_name":"Agen\u021bia Na\u021bional\u0103 pentru Cercetare \u0219i Dezvoltare"}],"funders":[{"id":"https://openalex.org/F4320319253","display_name":"Agen\u021bia Na\u021bional\u0103 pentru Cercetare \u0219i Dezvoltare","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1604448641","https://openalex.org/W1806891645","https://openalex.org/W2045320154","https://openalex.org/W2059116604","https://openalex.org/W2063822742","https://openalex.org/W2073141085","https://openalex.org/W2081480143","https://openalex.org/W2118023920","https://openalex.org/W2146246970","https://openalex.org/W2169388047","https://openalex.org/W2298931341","https://openalex.org/W2494875982","https://openalex.org/W2523246573","https://openalex.org/W2529812297","https://openalex.org/W2657631929","https://openalex.org/W2785024182","https://openalex.org/W2990430732","https://openalex.org/W3029651554","https://openalex.org/W3034837531","https://openalex.org/W3044019043","https://openalex.org/W3163993681","https://openalex.org/W4236841448","https://openalex.org/W4297736277","https://openalex.org/W4401878459","https://openalex.org/W6600284362","https://openalex.org/W6631190155","https://openalex.org/W6697545347","https://openalex.org/W6727249380","https://openalex.org/W6748177122","https://openalex.org/W6750964650","https://openalex.org/W7024564166"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"As":[0,207],"the":[1,13,24,69,74,79,85,92,150,181,185,189,193,208,211,220,224],"cost":[2],"of":[3,26,33,38,65,87,108,117,134,152,175,180,195,205],"photovoltaic":[4],"(PV)":[5],"power":[6,227],"generation":[7],"declines":[8],"and":[9,136,184],"becomes":[10],"competitive":[11],"in":[12,219,226],"electricity":[14],"business,":[15],"there":[16],"is":[17,61,111,120,139,158],"an":[18,62,143,196],"increasing":[19],"need":[20],"to":[21,121,141,161],"accurately":[22],"predict":[23],"performance":[25,37],"this":[27,66,118,127],"technology":[28],"under":[29],"a":[30,39,105,112,129,172,203,235],"wide":[31,106,236],"range":[32,107],"operating":[34,237],"conditions.":[35,177],"The":[36,58,115,155,178],"PV":[40,198],"module":[41],"may":[42],"be":[43],"captured":[44],"via":[45],"its":[46],"current\u2013voltage":[47],"(":[48],"<italic":[49,53,96,100,163,167],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[50,54,97,101,164,168],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">I</i>":[51,98,165],"\u2013":[52,99,166],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">V</i>":[55,102,169],")":[56],"characteristic.":[57],"single-diode":[59],"model":[60,93,191,199,213],"adequate":[63],"approximation":[64],"characteristic":[67],"when":[68,232],"parameters":[70,89],"are":[71],"determined":[72],"for":[73,104,171,234],"atmospheric":[75,109],"conditions":[76,110],"at":[77],"which":[78],"curve":[80],"was":[81],"measured.":[82],"However,":[83],"capturing":[84],"dependency":[86],"these":[88],"so":[90],"that":[91,148],"can":[94],"reproduce":[95],"characteristics":[103],"challenging":[113],"task.":[114],"objective":[116],"article":[119],"develop":[122],"such":[123],"model.":[124],"To":[125],"accomplish":[126],"task,":[128],"large-scale":[130],"data":[131],"repository":[132],"consisting":[133],"climatic":[135],"operational":[137],"measurements":[138],"used":[140],"train":[142],"artificial":[144],"neural":[145],"network":[146],"(NN)":[147],"captures":[149],"behavior":[151,183],"each":[153],"parameter.":[154],"trained":[156],"NN":[157,190],"then":[159],"utilized":[160],"recreate":[162],"curves":[170,186],"broad":[173],"spectrum":[174],"environmental":[176],"analysis":[179],"parameter":[182],"predicted":[187],"by":[188,200,222,229],"allows":[192],"identification":[194],"improved":[197],"searching":[201],"through":[202],"kernel":[204],"functions.":[206],"results":[209],"show,":[210],"proposed":[212],"outperforms":[214],"current":[215],"functional":[216],"models":[217],"available":[218],"literature,":[221],"reducing":[223],"error":[225],"estimation":[228],"about":[230],"6%":[231],"measured":[233],"range.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}