{"id":"https://openalex.org/W4389747864","doi":"https://doi.org/10.1109/access.2023.3342857","title":"Study on Stochastic and Autoregressive Time Series Forecasting for Hydrogen Refueling Station","display_name":"Study on Stochastic and Autoregressive Time Series Forecasting for Hydrogen Refueling Station","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389747864","doi":"https://doi.org/10.1109/access.2023.3342857"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3342857","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3342857","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10359513.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10359513.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015350790","display_name":"Ji-wook Kim","orcid":"https://orcid.org/0000-0002-3781-5321"},"institutions":[{"id":"https://openalex.org/I4210152654","display_name":"Korea Evaluation Institute of Industrial Technology","ror":"https://ror.org/03z9cwa38","country_code":"KR","type":"government","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210152654"]},{"id":"https://openalex.org/I89004649","display_name":"Korea Institute of Industrial Technology","ror":"https://ror.org/04qfph657","country_code":"KR","type":"other","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I89004649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ji-Wook Kim","raw_affiliation_strings":["Smart Manufacturing Technology Research and Development Group, Korea Institute of Industrial Technology, Daegu, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Smart Manufacturing Technology Research and Development Group, Korea Institute of Industrial Technology, Daegu, South Korea","institution_ids":["https://openalex.org/I4210152654","https://openalex.org/I89004649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010855318","display_name":"Hong-In Won","orcid":"https://orcid.org/0000-0003-1609-8447"},"institutions":[{"id":"https://openalex.org/I89004649","display_name":"Korea Institute of Industrial Technology","ror":"https://ror.org/04qfph657","country_code":"KR","type":"other","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I89004649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hong-In Won","raw_affiliation_strings":["Advanced Mechatronics Research and Development Group, Korea Institute of Industrial Technology, Daegu, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-1609-8447","affiliations":[{"raw_affiliation_string":"Advanced Mechatronics Research and Development Group, Korea Institute of Industrial Technology, Daegu, South Korea","institution_ids":["https://openalex.org/I89004649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056468545","display_name":"Dong-Yong Park","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152654","display_name":"Korea Evaluation Institute of Industrial Technology","ror":"https://ror.org/03z9cwa38","country_code":"KR","type":"government","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210152654"]},{"id":"https://openalex.org/I89004649","display_name":"Korea Institute of Industrial Technology","ror":"https://ror.org/04qfph657","country_code":"KR","type":"other","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I89004649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Yong Park","raw_affiliation_strings":["Smart Manufacturing Technology Research and Development Group, Korea Institute of Industrial Technology, Daegu, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Smart Manufacturing Technology Research and Development Group, Korea Institute of Industrial Technology, Daegu, South Korea","institution_ids":["https://openalex.org/I4210152654","https://openalex.org/I89004649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038028818","display_name":"In-Jae Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I196733613","display_name":"Korea Gas Corporation (South Korea)","ror":"https://ror.org/0058p8h34","country_code":"KR","type":"company","lineage":["https://openalex.org/I196733613"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"In-Jae Kim","raw_affiliation_strings":["Energy Research Center, Korea Gas Technology Corporation, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Energy Research Center, Korea Gas Technology Corporation, Daejeon, South Korea","institution_ids":["https://openalex.org/I196733613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006964121","display_name":"Jinwoo Lee","orcid":"https://orcid.org/0000-0002-6692-9715"},"institutions":[{"id":"https://openalex.org/I196733613","display_name":"Korea Gas Corporation (South Korea)","ror":"https://ror.org/0058p8h34","country_code":"KR","type":"company","lineage":["https://openalex.org/I196733613"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin-Woo Lee","raw_affiliation_strings":["Energy Research Center, Korea Gas Technology Corporation, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Energy Research Center, Korea Gas Technology Corporation, Daejeon, South Korea","institution_ids":["https://openalex.org/I196733613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113071699","display_name":"Kyung-Duk Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I196733613","display_name":"Korea Gas Corporation (South Korea)","ror":"https://ror.org/0058p8h34","country_code":"KR","type":"company","lineage":["https://openalex.org/I196733613"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyung-Duk Kim","raw_affiliation_strings":["Energy Research Center, Korea Gas Technology Corporation, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Energy Research Center, Korea Gas Technology Corporation, Daejeon, South Korea","institution_ids":["https://openalex.org/I196733613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030146723","display_name":"Yoojeong Noh","orcid":"https://orcid.org/0000-0003-0342-5189"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yoojeong Noh","raw_affiliation_strings":["School of Mechanical Engineering, Pusan National University, Busan, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-0342-5189","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Pusan National University, Busan, South Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060112836","display_name":"Jin-Seok Jang","orcid":"https://orcid.org/0000-0002-6801-9109"},"institutions":[{"id":"https://openalex.org/I4210152654","display_name":"Korea Evaluation Institute of Industrial Technology","ror":"https://ror.org/03z9cwa38","country_code":"KR","type":"government","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210152654"]},{"id":"https://openalex.org/I89004649","display_name":"Korea Institute of Industrial Technology","ror":"https://ror.org/04qfph657","country_code":"KR","type":"other","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I89004649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin-Seok Jang","raw_affiliation_strings":["Smart Manufacturing Technology Research and Development Group, Korea Institute of Industrial Technology, Daegu, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6801-9109","affiliations":[{"raw_affiliation_string":"Smart Manufacturing Technology Research and Development Group, Korea Institute of Industrial Technology, Daegu, South Korea","institution_ids":["https://openalex.org/I4210152654","https://openalex.org/I89004649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4143,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68512658,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"141598","last_page":"141609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11007","display_name":"Hybrid Renewable Energy Systems","score":0.9627000093460083,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"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/T11007","display_name":"Hybrid Renewable Energy Systems","score":0.9627000093460083,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"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/computer-science","display_name":"Computer science","score":0.7465978860855103},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6786895394325256},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6278197765350342},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5136148929595947},{"id":"https://openalex.org/keywords/prediction-interval","display_name":"Prediction interval","score":0.5134333372116089},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4711381793022156},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.465701162815094},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.43404659628868103},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.41697075963020325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2535432279109955},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2245294749736786},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.20868337154388428},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14183536171913147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7465978860855103},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6786895394325256},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6278197765350342},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5136148929595947},{"id":"https://openalex.org/C103402496","wikidata":"https://www.wikidata.org/wiki/Q1106171","display_name":"Prediction interval","level":2,"score":0.5134333372116089},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4711381793022156},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.465701162815094},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.43404659628868103},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.41697075963020325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2535432279109955},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2245294749736786},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.20868337154388428},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14183536171913147},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3342857","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3342857","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10359513.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c7f5eebfe1604f0293474e9efae407f4","is_oa":true,"landing_page_url":"https://doaj.org/article/c7f5eebfe1604f0293474e9efae407f4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 141598-141609 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3342857","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3342857","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10359513.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G1587444619","display_name":null,"funder_award_id":"20227310100010","funder_id":"https://openalex.org/F4320335199","funder_display_name":"Korea Institute of Energy Technology Evaluation and Planning"},{"id":"https://openalex.org/G3242025871","display_name":null,"funder_award_id":"KITECH EH-23-0006","funder_id":"https://openalex.org/F4320322092","funder_display_name":"Korea Institute of Industrial Technology"},{"id":"https://openalex.org/G8260918141","display_name":null,"funder_award_id":"20227310100010","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"}],"funders":[{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322092","display_name":"Korea Institute of Industrial Technology","ror":"https://ror.org/04qfph657"},{"id":"https://openalex.org/F4320335199","display_name":"Korea Institute of Energy Technology Evaluation and Planning","ror":"https://ror.org/02zq38y32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389747864.pdf","grobid_xml":"https://content.openalex.org/works/W4389747864.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W628343135","https://openalex.org/W1924770834","https://openalex.org/W1991292864","https://openalex.org/W2045186954","https://openalex.org/W2064675550","https://openalex.org/W2096947102","https://openalex.org/W2157331557","https://openalex.org/W2572939427","https://openalex.org/W2885195348","https://openalex.org/W2948574251","https://openalex.org/W2963608065","https://openalex.org/W2969617888","https://openalex.org/W2980100207","https://openalex.org/W2991715193","https://openalex.org/W3009078407","https://openalex.org/W3015904809","https://openalex.org/W3027113477","https://openalex.org/W3033914725","https://openalex.org/W3039132553","https://openalex.org/W3109788897","https://openalex.org/W3129665074","https://openalex.org/W3159320485","https://openalex.org/W3169607424","https://openalex.org/W4284883914","https://openalex.org/W4304701512","https://openalex.org/W4319459192","https://openalex.org/W6640212811","https://openalex.org/W6766892387","https://openalex.org/W6770373422","https://openalex.org/W6778033365","https://openalex.org/W6786752366","https://openalex.org/W6790222426","https://openalex.org/W6795256047","https://openalex.org/W6795740636","https://openalex.org/W6846427803"],"related_works":["https://openalex.org/W3135881084","https://openalex.org/W2380590035","https://openalex.org/W2351712633","https://openalex.org/W4224133501","https://openalex.org/W4388984322","https://openalex.org/W4285509495","https://openalex.org/W1509694164","https://openalex.org/W3216381689","https://openalex.org/W3041008604","https://openalex.org/W1997742363"],"abstract_inverted_index":{"Hydrogen":[0],"refueling":[1],"stations":[2],"are":[3],"pivotal":[4],"for":[5,49],"renewable":[6],"energy":[7,226],"and":[8,30,67,110,120,135,183,206],"carbon":[9],"neutrality;":[10],"however,":[11],"they":[12],"encounter":[13],"challenges":[14],"owing":[15],"to":[16,28,46,74,87,104,129,132,149,217],"equipment":[17,33,43,106,196],"malfunctions.":[18],"This":[19,138,156],"study":[20,139],"addresses":[21],"the":[22,41,58,76,193,208,211,218],"use":[23],"of":[24,40,78,96,167,171,195,210,221],"time-series":[25],"forecasting":[26,143,182],"techniques":[27],"predict":[29,150],"diagnose":[31],"critical":[32],"failure":[34,197],"at":[35],"these":[36],"stations.":[37],"An":[38],"analysis":[39],"station":[42],"was":[44],"conducted":[45],"create":[47],"scenarios":[48],"potential":[50],"malfunctions":[51],"in":[52],"compression":[53,80],"equipment.":[54,81],"Techniques":[55],"such":[56],"as":[57,223],"Recurrent":[59,69],"Neural":[60],"Network(RNN),":[61],"Long":[62],"Short-Term":[63],"Memory":[64],"network":[65],"(LSTM),":[66],"Gated":[68],"Unit(GRU)":[70],"have":[71],"been":[72],"employed":[73],"forecast":[75],"conditions":[77],"high-pressure":[79],"Deep":[82],"neural":[83],"networks":[84],"were":[85,102],"constructed":[86],"enhance":[88],"prediction":[89,114,161,185],"accuracy,":[90],"typically":[91],"achieving":[92],"an":[93],"error":[94],"margin":[95],"0.01.":[97],"Multi-step":[98],"predictions":[99,125,198],"using":[100,118],"autoregression":[101],"utilized":[103],"bolster":[105],"resilience":[107],"against":[108],"aging":[109],"progressive":[111],"failures.":[112],"Autoregressive":[113],"models,":[115],"particularly":[116],"those":[117],"LSTMs":[119],"GRUs,":[121],"outperform":[122],"RNNs.":[123],"However,":[124],"may":[126],"be":[127],"subject":[128],"errors":[130],"due":[131],"algorithmic":[133],"limitations":[134],"environmental":[136],"factors.":[137],"introduces":[140],"a":[141,159,164,224],"stochastic":[142,180],"approach":[144],"that,":[145],"utilizes":[146],"Gaussian":[147],"distributions":[148],"probability":[151],"distributions,":[152],"not":[153,191],"single-point":[154],"estimates.":[155],"method":[157],"yielded":[158],"95%":[160],"interval":[162],"with":[163],"standard":[165],"deviation":[166],"1.96.":[168],"The":[169,187],"reliability":[170],"multi-time":[172],"step":[173],"forecasts":[174],"is":[175],"significantly":[176],"improved":[177],"by":[178],"adopting":[179],"autoregressive":[181],"establishing":[184],"intervals.":[186],"proposed":[188],"model":[189],"enhances":[190],"only":[192],"accuracy":[194],"but":[199],"also":[200],"proactive":[201],"maintenance,":[202],"thus":[203],"reducing":[204],"downtime":[205],"boosting":[207],"efficiency":[209],"hydrogen":[212,222],"fuel":[213],"infrastructure,":[214],"which":[215],"contributes":[216],"wider":[219],"utilization":[220],"clean":[225],"source.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
