{"id":"https://openalex.org/W2782745105","doi":"https://doi.org/10.1109/iciinfs.2016.8262987","title":"A GA trained ANN model for maximum power point tracking in solar photo voltaic cell","display_name":"A GA trained ANN model for maximum power point tracking in solar photo voltaic cell","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2782745105","doi":"https://doi.org/10.1109/iciinfs.2016.8262987","mag":"2782745105"},"language":"en","primary_location":{"id":"doi:10.1109/iciinfs.2016.8262987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciinfs.2016.8262987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 11th International Conference on Industrial and Information Systems (ICIIS)","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/A5071270230","display_name":"Vemula Anil Kumar","orcid":"https://orcid.org/0000-0002-1373-2599"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"V. Anil Kumar","raw_affiliation_strings":["Department of Electrical & Electronics Engineering, Pondicherry Engineering College, Pondicherry"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Electronics Engineering, Pondicherry Engineering College, Pondicherry","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"M. Arounassalame","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Arounassalame","raw_affiliation_strings":["Department of Electrical & Electronics Engineering, Pondicherry Engineering College, Pondicherry"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Electronics Engineering, Pondicherry Engineering College, Pondicherry","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071270230"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3154,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65692293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"474","last_page":"480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10468","display_name":"Photovoltaic System Optimization Techniques","score":1.0,"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":1.0,"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":0.9983000159263611,"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/T10905","display_name":"Solar Thermal and Photovoltaic Systems","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/maximum-power-point-tracking","display_name":"Maximum power point tracking","score":0.8490983247756958},{"id":"https://openalex.org/keywords/maximum-power-principle","display_name":"Maximum power principle","score":0.6812958121299744},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.6742909550666809},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.6054081916809082},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.5639654994010925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5636732578277588},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5267324447631836},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4862155020236969},{"id":"https://openalex.org/keywords/solar-energy","display_name":"Solar energy","score":0.46252569556236267},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4479215443134308},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41829076409339905},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.37258994579315186},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3032415509223938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1982066035270691},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.17969626188278198},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1355668008327484}],"concepts":[{"id":"https://openalex.org/C36139824","wikidata":"https://www.wikidata.org/wiki/Q1052007","display_name":"Maximum power point tracking","level":4,"score":0.8490983247756958},{"id":"https://openalex.org/C116615679","wikidata":"https://www.wikidata.org/wiki/Q6795908","display_name":"Maximum power principle","level":3,"score":0.6812958121299744},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.6742909550666809},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.6054081916809082},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.5639654994010925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5636732578277588},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5267324447631836},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4862155020236969},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.46252569556236267},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4479215443134308},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41829076409339905},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.37258994579315186},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3032415509223938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1982066035270691},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.17969626188278198},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1355668008327484},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C11190779","wikidata":"https://www.wikidata.org/wiki/Q664575","display_name":"Inverter","level":3,"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/iciinfs.2016.8262987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciinfs.2016.8262987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 11th International Conference on Industrial and Information Systems (ICIIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W12353142","https://openalex.org/W74637023","https://openalex.org/W1242819450","https://openalex.org/W1985137619","https://openalex.org/W2025216680","https://openalex.org/W2061562907","https://openalex.org/W2089608131","https://openalex.org/W2102110425","https://openalex.org/W2129475943","https://openalex.org/W2132232422","https://openalex.org/W2139722706","https://openalex.org/W2160987322","https://openalex.org/W2161592853","https://openalex.org/W2163428336","https://openalex.org/W2169225836","https://openalex.org/W2169498704","https://openalex.org/W2289521867","https://openalex.org/W2949254319","https://openalex.org/W4241697444","https://openalex.org/W4285719527","https://openalex.org/W6600495135","https://openalex.org/W6602990417","https://openalex.org/W6679045155","https://openalex.org/W6696703383","https://openalex.org/W6763548513"],"related_works":["https://openalex.org/W2093748482","https://openalex.org/W2366001104","https://openalex.org/W2366644717","https://openalex.org/W1956655372","https://openalex.org/W2351307261","https://openalex.org/W2381993707","https://openalex.org/W2159563029","https://openalex.org/W2290996769","https://openalex.org/W2090575600","https://openalex.org/W2367445858"],"abstract_inverted_index":{"Solar":[0,24],"energy":[1,10,18],"is":[2,19,34,79,101,104,120,151],"one":[3],"of":[4,8,16,39,54,73,86,114],"the":[5,14,51,55,68,82,109,112,148,171,174,178],"major":[6],"component":[7],"renewable":[9],"resources":[11],"and":[12,31,43,177],"maximizing":[13],"utilization":[15],"solar":[17],"a":[20,37,46,92,127],"technically":[21],"challenging":[22],"task.":[23],"PV":[25,56,77,87],"cells":[26],"shows":[27],"non":[28],"liner":[29],"behavior":[30],"their":[32],"performance":[33,125],"influenced":[35],"by":[36,122,134],"variety":[38],"factors.":[40],"Varying":[41],"insolation":[42],"temperature":[44],"plays":[45],"crucial":[47],"role":[48],"in":[49,76],"defining":[50],"operating":[52,84],"point":[53,156],"cell.":[57],"Maximum":[58],"Power":[59],"Point":[60],"Tracking":[61],"(MPPT)":[62],"algorithms":[63],"are":[64],"necessary":[65],"to":[66,80,106,160,169],"maximize":[67],"output":[69],"power.":[70],"The":[71,117,143],"objective":[72],"obtaining":[74],"MPP":[75],"systems":[78],"regulate":[81],"actual":[83],"voltage":[85,138,176],"panels.":[88],"In":[89],"this":[90],"paper":[91],"Genetic":[93],"Algorithm":[94],"(GA)-Artificial":[95],"Neural":[96],"Network":[97],"(ANN)":[98],"MPPT":[99],"approach":[100,119,150],"presented.":[102],"GA":[103],"employed":[105],"adaptively":[107],"change":[108],"weights":[110],"during":[111],"course":[113],"ANN":[115,135],"training.":[116],"proposed":[118,149],"validated":[121],"comparing":[123],"its":[124],"against":[126],"data":[128],"set":[129],"which":[130],"contains":[131],"voltages":[132],"forecast":[133],"approach,":[136],"reference":[137,179],"obtained":[139],"through":[140],"mathematical":[141],"modeling.":[142],"results":[144],"have":[145],"shown":[146],"that":[147],"suitable":[152],"for":[153],"maximum":[154],"power":[155],"tracking":[157],"when":[158],"compared":[159],"ANN.":[161],"Pearson":[162],"product-moment":[163],"correlation":[164,172],"has":[165],"also":[166],"been":[167],"calculated":[168],"compare":[170],"between":[173],"anticipated":[175],"voltage.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
