{"id":"https://openalex.org/W2900347271","doi":"https://doi.org/10.1109/powerafrica.2018.8520996","title":"Artificial Neural Network-Based Capacitance Prediction Model for Optimal Voltage Control of Stand-alone Wind-Driven Self-Excited Reluctance Generator","display_name":"Artificial Neural Network-Based Capacitance Prediction Model for Optimal Voltage Control of Stand-alone Wind-Driven Self-Excited Reluctance Generator","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2900347271","doi":"https://doi.org/10.1109/powerafrica.2018.8520996","mag":"2900347271"},"language":"en","primary_location":{"id":"doi:10.1109/powerafrica.2018.8520996","doi":"https://doi.org/10.1109/powerafrica.2018.8520996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/powerafrica.2018.8520996","pdf_url":null,"source":{"id":"https://openalex.org/S4363606712","display_name":"IEEE PES/IAS PowerAfrica Conference (PowerAfrica)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2018 IEEE PES/IAS PowerAfrica","raw_type":"proceedings-article"},"volume":null,"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/A5057655901","display_name":"Bukola Babatunde Adetokun","orcid":"https://orcid.org/0000-0002-7175-7452","observed_orcids":["https://orcid.org/0000-0002-7175-7452"]},"institutions":[{"id":"https://openalex.org/I26805570","display_name":"Jomo Kenyatta University of Agriculture and Technology","ror":"https://ror.org/015h5sy57","country_code":"KE","type":"education","lineage":["https://openalex.org/I26805570"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"Bukola B. Adetokun","raw_affiliation_strings":["Department of Electrical Engineering, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya","institution_ids":["https://openalex.org/I26805570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068742276","display_name":"Aderibigbe Israel Adekitan","orcid":"https://orcid.org/0000-0002-9998-549X","observed_orcids":["https://orcid.org/0000-0002-9998-549X"]},"institutions":[{"id":"https://openalex.org/I186771145","display_name":"Covenant University","ror":"https://ror.org/00frr1n84","country_code":"NG","type":"education","lineage":["https://openalex.org/I186771145"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"A.I Adekitan","raw_affiliation_strings":["Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria","institution_ids":["https://openalex.org/I186771145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042572949","display_name":"Tobiloba Somefun","orcid":"https://orcid.org/0000-0003-1470-5725","observed_orcids":["https://orcid.org/0000-0003-1470-5725"]},"institutions":[{"id":"https://openalex.org/I186771145","display_name":"Covenant University","ror":"https://ror.org/00frr1n84","country_code":"NG","type":"education","lineage":["https://openalex.org/I186771145"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"T.E Somefun","raw_affiliation_strings":["Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria","institution_ids":["https://openalex.org/I186771145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048578011","display_name":"Alex Aligbe","orcid":"https://orcid.org/0000-0002-1009-8166","observed_orcids":["https://orcid.org/0000-0002-1009-8166"]},"institutions":[{"id":"https://openalex.org/I186771145","display_name":"Covenant University","ror":"https://ror.org/00frr1n84","country_code":"NG","type":"education","lineage":["https://openalex.org/I186771145"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"A. Aligbe","raw_affiliation_strings":["Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria","institution_ids":["https://openalex.org/I186771145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110947008","display_name":"A.S.O. Ogunjuyigbe","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I181631907","display_name":"University of Ibadan","ror":"https://ror.org/03wx2rr30","country_code":"NG","type":"education","lineage":["https://openalex.org/I181631907"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"A.S.O Ogunjuyigbe","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Ibadan, Ibadan, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Ibadan, Ibadan, Nigeria","institution_ids":["https://openalex.org/I181631907"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3929,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89084938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"485","last_page":"490"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10278","display_name":"Electric Motor Design and Analysis","score":0.4616999924182892,"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"}},"topics":[{"id":"https://openalex.org/T10278","display_name":"Electric Motor Design and Analysis","score":0.4616999924182892,"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/T10740","display_name":"Wind Turbine Control Systems","score":0.2660999894142151,"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/T10320","display_name":"Neural Networks and Applications","score":0.03400000184774399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/voltage-control","display_name":"voltage regulation","score":0.6880000233650208},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8159999847412109},{"id":"https://openalex.org/keywords/wind-speed-variability","display_name":"wind speed variation","score":0.847000002861023},{"id":"https://openalex.org/keywords/load-variation","display_name":"load variation","score":0.9620000123977661}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7224615812301636},{"id":"https://openalex.org/C30066665","wikidata":"https://www.wikidata.org/wiki/Q164399","display_name":"Capacitance","level":3,"score":0.6665928363800049},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.614249587059021},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.5790234208106995},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.5506729483604431},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47915858030319214},{"id":"https://openalex.org/C52192207","wikidata":"https://www.wikidata.org/wiki/Q5322","display_name":"Capacitor","level":3,"score":0.45958155393600464},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4503067433834076},{"id":"https://openalex.org/C83581075","wikidata":"https://www.wikidata.org/wiki/Q1361503","display_name":"Excitation","level":2,"score":0.45019862055778503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40592700242996216},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.34685319662094116},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3433290719985962},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.19638994336128235},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15288648009300232},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.09968748688697815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07631897926330566},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"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/C17525397","wikidata":"https://www.wikidata.org/wiki/Q176140","display_name":"Electrode","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/powerafrica.2018.8520996","doi":"https://doi.org/10.1109/powerafrica.2018.8520996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/powerafrica.2018.8520996","pdf_url":null,"source":{"id":"https://openalex.org/S4363606712","display_name":"IEEE PES/IAS PowerAfrica Conference (PowerAfrica)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2018 IEEE PES/IAS PowerAfrica","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.covenantuniversity.edu.ng:12145","doi":null,"is_oa":false,"landing_page_url":"http://eprints.covenantuniversity.edu.ng/12145/1/Artificial%20Neural%20Network-Based%20Capacitance%20Prediction%20Model%20for%20Optimal%20Voltage%20Control%20of%20Stand-alone%20Wind-Driven%20Self-Excited%20Reluctance%20Generator.pdf","pdf_url":"http://eprints.covenantuniversity.edu.ng/12145/1/Artificial%20Neural%20Network-Based%20Capacitance%20Prediction%20Model%20for%20Optimal%20Voltage%20Control%20of%20Stand-alone%20Wind-Driven%20Self-Excited%20Reluctance%20Generator.pdf","source":{"id":"https://openalex.org/S4306400995","display_name":"Covenant University Repository (Covenant University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I186771145","host_organization_name":"Covenant University","host_organization_lineage":["https://openalex.org/I186771145"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9853000044822693,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323779","display_name":"Covenant University","ror":"https://ror.org/00frr1n84"},{"id":"https://openalex.org/F4320325636","display_name":"Jomo Kenyatta University of Agriculture and Technology","ror":"https://ror.org/015h5sy57"},{"id":"https://openalex.org/F4320326441","display_name":"Institute for Basic Science","ror":"https://ror.org/00y0zf565"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1480368256","https://openalex.org/W1507884046","https://openalex.org/W1555319078","https://openalex.org/W2016541484","https://openalex.org/W2105053223","https://openalex.org/W2124985649","https://openalex.org/W2152523368","https://openalex.org/W2404758937","https://openalex.org/W2514280537","https://openalex.org/W2569686091","https://openalex.org/W2599300682","https://openalex.org/W2602994456","https://openalex.org/W2740746925","https://openalex.org/W4242089704"],"related_works":["https://openalex.org/W7166724003","https://openalex.org/W2569686091","https://openalex.org/W2559923032","https://openalex.org/W2599300682","https://openalex.org/W7099220924","https://openalex.org/W2189005857","https://openalex.org/W2186396156","https://openalex.org/W2740746925","https://openalex.org/W3164405852","https://openalex.org/W1972447398"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,75],"Artificial":[4],"Neural":[5],"Network":[6],"(ANN)":[7],"model":[8,101],"to":[9,16,126,154,190],"predict":[10],"the":[11,18,58,84,99,120,123,128,147,150,160,184,192],"excitation":[12,59,125,156],"capacitance":[13,60,116,157],"value":[14,69,117],"necessary":[15],"sustain":[17],"generated":[19,129,193],"voltage":[20,131,163,194],"of":[21,57,70,77,102,108,137,149,186,195],"a":[22,52,88,133,181,187],"wind-driven":[23,196],"self-excited":[24],"reluctance":[25],"generator":[26],"(WDSERG)":[27],"within":[28,198],"preferred":[29,134],"limits.":[30],"The":[31,93,114,144,173],"network":[32,94,121,152],"was":[33,95],"trained,":[34],"validated":[35],"and":[36,47,51,74,111,168,204],"tested":[37],"with":[38],"input":[39,63,106,142],"data":[40,55],"which":[41],"comprises":[42],"load":[43,112,169,205],"impedances,":[44],"power":[45],"factor":[46],"wind":[48,109,166,202],"speed":[49,110,167,203],"values":[50],"corresponding":[53],"output":[54,162],"consisting":[56],"for":[61,83,159,183],"each":[62,141],"condition.":[64,143],"A":[65],"mean":[66],"square":[67],"error":[68],"less":[71],"than":[72,79],"0.11":[73],"R-value":[76],"more":[78],"0.999":[80],"were":[81],"obtained":[82,118],"network.":[85],"These":[86],"indicate":[87],"very":[89],"accurate":[90],"ANN":[91],"training.":[92],"then":[96],"utilized":[97],"in":[98,176],"complete":[100],"WDSERG":[103,161],"under":[104,140],"diverse":[105],"states":[107],"variation.":[113,206],"predicted":[115],"from":[119],"provides":[122],"required":[124],"keep":[127,191],"phase":[130],"at":[132],"constant":[135],"level":[136],"220\u00b15":[138],"V":[139],"results":[145],"depict":[146],"effectiveness":[148],"neural":[151],"application":[153],"provide":[155,180],"control":[158],"when":[164],"varying":[165],"profile":[170],"are":[171],"considered.":[172],"method":[174],"proposed":[175],"this":[177],"work":[178],"can":[179],"basis":[182],"design":[185],"variable":[188],"capacitor":[189],"SERG":[197],"desired":[199],"limits":[200],"despite":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-10-21T09:56:26.102985","created_date":"2018-11-16T00:00:00"}