{"id":"https://openalex.org/W2742385700","doi":"https://doi.org/10.1109/isie.2017.8001385","title":"Prediction of PEMFC stack efficiency using recurrent neural networks","display_name":"Prediction of PEMFC stack efficiency using recurrent neural networks","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2742385700","doi":"https://doi.org/10.1109/isie.2017.8001385","mag":"2742385700"},"language":"en","primary_location":{"id":"doi:10.1109/isie.2017.8001385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie.2017.8001385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)","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/A5084719485","display_name":"Derick Furquim Pereira","orcid":"https://orcid.org/0000-0002-2746-1582"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]},{"id":"https://openalex.org/I4210103631","display_name":"Centro de Estudos e Pesquisa em Sa\u00fade Coletiva","ror":"https://ror.org/01dwh3q17","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I4210103631"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Derick F. Pereira","raw_affiliation_strings":["CEPEL-Electrical Energy Research Center, Rio de Janeiro, Brazil","Federal University of Rio de Janeiro, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEPEL-Electrical Energy Research Center, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I4210103631"]},{"raw_affiliation_string":"Federal University of Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032051981","display_name":"Francisco da Costa Lopes","orcid":"https://orcid.org/0000-0002-2601-5708"},"institutions":[{"id":"https://openalex.org/I4210103631","display_name":"Centro de Estudos e Pesquisa em Sa\u00fade Coletiva","ror":"https://ror.org/01dwh3q17","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I4210103631"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Francisco C. Lopes","raw_affiliation_strings":["CEPEL-Electrical Energy Research Center, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEPEL-Electrical Energy Research Center, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I4210103631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040252609","display_name":"Edson H. Watanabe","orcid":"https://orcid.org/0000-0001-6427-9504"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Edson H. Watanabe","raw_affiliation_strings":["Federal University of Rio de Janeiro, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4386,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65700344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1017","last_page":"1022"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10409","display_name":"Fuel Cells and Related Materials","score":1.0,"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/T10409","display_name":"Fuel Cells and Related Materials","score":1.0,"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/T10030","display_name":"Electrocatalysts for Energy Conversion","score":0.9990000128746033,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/stack","display_name":"Stack (abstract data type)","score":0.809860110282898},{"id":"https://openalex.org/keywords/proton-exchange-membrane-fuel-cell","display_name":"Proton exchange membrane fuel cell","score":0.7796573638916016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5278971791267395},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5116274952888489},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47128456830978394},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.4480583369731903},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4274653494358063},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.3400144577026367},{"id":"https://openalex.org/keywords/process-engineering","display_name":"Process engineering","score":0.33962932229042053},{"id":"https://openalex.org/keywords/fuel-cells","display_name":"Fuel cells","score":0.2633419930934906},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23440119624137878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18162554502487183},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.15567433834075928},{"id":"https://openalex.org/keywords/chemical-engineering","display_name":"Chemical engineering","score":0.07469803094863892}],"concepts":[{"id":"https://openalex.org/C9395851","wikidata":"https://www.wikidata.org/wiki/Q177929","display_name":"Stack (abstract data type)","level":2,"score":0.809860110282898},{"id":"https://openalex.org/C132319479","wikidata":"https://www.wikidata.org/wiki/Q899619","display_name":"Proton exchange membrane fuel cell","level":3,"score":0.7796573638916016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5278971791267395},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5116274952888489},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47128456830978394},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.4480583369731903},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4274653494358063},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3400144577026367},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.33962932229042053},{"id":"https://openalex.org/C2987658370","wikidata":"https://www.wikidata.org/wiki/Q180253","display_name":"Fuel cells","level":2,"score":0.2633419930934906},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23440119624137878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18162554502487183},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.15567433834075928},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.07469803094863892},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isie.2017.8001385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie.2017.8001385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"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":16,"referenced_works":["https://openalex.org/W205133559","https://openalex.org/W1535260033","https://openalex.org/W1978950079","https://openalex.org/W1989947556","https://openalex.org/W2007756949","https://openalex.org/W2062630100","https://openalex.org/W2064898484","https://openalex.org/W2071335199","https://openalex.org/W2080551469","https://openalex.org/W2136569941","https://openalex.org/W2146419443","https://openalex.org/W2295424966","https://openalex.org/W2320867305","https://openalex.org/W2345019730","https://openalex.org/W2567784893","https://openalex.org/W4294719703"],"related_works":["https://openalex.org/W2380576232","https://openalex.org/W2369019401","https://openalex.org/W2093424824","https://openalex.org/W2013417677","https://openalex.org/W3217129854","https://openalex.org/W2083114629","https://openalex.org/W2016212619","https://openalex.org/W2368719846","https://openalex.org/W4386415288","https://openalex.org/W1971704801"],"abstract_inverted_index":{"Hydrogen-related":[0],"technologies":[1],"are":[2,164],"a":[3,20,62,88,126,130,148,193,206,226],"promising":[4],"solution":[5],"for":[6,116,176,215,225],"energy":[7,11,43,58,72],"storage":[8],"systems.":[9],"The":[10,180,220],"surplus":[12],"from":[13],"renewables":[14],"or":[15],"the":[16,35,80,99,117,135,167,178,186,189,218,234,241,244,252],"off-peak":[17],"power":[18],"in":[19,70,79,98,121,129,138,155,251],"centralized":[21],"electric":[22,42],"system":[23,103],"can":[24,38],"be":[25,39,66],"used":[26],"to":[27,31,41,68,76,87,112,133,158],"feed":[28],"an":[29,96],"electrolyzer":[30],"produce":[32],"hydrogen.":[33],"Then,":[34],"stored":[36],"hydrogen":[37,100],"converted":[40],"using":[44,106,170],"proton":[45],"exchange":[46],"membrane":[47],"fuel":[48],"cells":[49],"(PEMFCs),":[50],"which":[51,84],"have":[52],"higher":[53,202],"efficiency":[54,74,118,137],"than":[55,203,213],"other":[56],"conventional":[57],"conversion":[59,73],"technologies.":[60],"However,":[61],"PEMFC":[63,144],"stack":[64,145],"might":[65],"subject":[67],"variations":[69],"its":[71],"due":[75],"undesirable":[77],"changes":[78],"internal":[81],"operating":[82,146],"conditions,":[83],"may":[85],"lead":[86],"relatively":[89],"high":[90],"loss":[91],"of":[92,195,217,230,243],"generation":[93],"capacity":[94],"and":[95,188,205],"increase":[97],"consumption.":[101],"A":[102,140],"identification":[104],"method":[105,169],"recurrent":[107],"neural":[108],"networks":[109],"(RNNs)":[110],"able":[111],"build":[113],"prediction":[114,228],"models":[115,163,236],"is":[119,153],"proposed":[120],"this":[122,156],"paper":[123],"aiming":[124],"at":[125],"further":[127],"use":[128],"control":[131],"application":[132],"maximize":[134],"stack's":[136],"real-time.":[139],"3":[141],"kW":[142],"commercial":[143],"under":[147],"typical":[149],"residential":[150],"load":[151],"profile":[152],"employed":[154],"work":[157],"obtain":[159],"experimental":[160],"data.":[161],"Three":[162],"developed":[165],"with":[166,173,192,240],"aforementioned":[168],"data":[171,246],"sets":[172,247],"different":[174],"sizes":[175],"training":[177,245],"RNNs.":[179],"results":[181,221],"show":[182],"good":[183],"agreement":[184],"between":[185],"predicted":[187],"measured":[190],"efficiency,":[191],"coefficient":[194],"determination":[196],"(R":[197],"<sup":[198],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[199],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[200],"coefficient)":[201],"0.999":[204],"validation":[207],"mean":[208],"squared":[209],"error":[210],"(MSE)":[211],"lower":[212],"0.02":[214],"most":[216],"models.":[219],"also":[222],"reveal":[223],"that,":[224],"fixed":[227],"horizon":[229],"6.4":[231],"h,":[232],"all":[233],"three":[235],"present":[237],"similar":[238],"performance,":[239],"size":[242],"making":[248],"little":[249],"difference":[250],"performance":[253],"indicators.":[254]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
