{"id":"https://openalex.org/W4412129804","doi":"https://doi.org/10.1109/ias62731.2025.11061607","title":"Temporal Convolutional Networks for Cloud-Based Renewable Energy Forecasting: A Deep Learning Approach to Power Production and Battery Health Prediction","display_name":"Temporal Convolutional Networks for Cloud-Based Renewable Energy Forecasting: A Deep Learning Approach to Power Production and Battery Health Prediction","publication_year":2025,"publication_date":"2025-06-15","ids":{"openalex":"https://openalex.org/W4412129804","doi":"https://doi.org/10.1109/ias62731.2025.11061607"},"language":"en","primary_location":{"id":"doi:10.1109/ias62731.2025.11061607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias62731.2025.11061607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Industry Applications Society Annual Meeting (IAS)","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/A5060149727","display_name":"Po\u2010Yi Tsai","orcid":"https://orcid.org/0000-0003-4804-5251"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Po-Yang Tsai","raw_affiliation_strings":["Southern Taiwan University of Science and Technology,Dept. of Computer Science and Information Engineering,Tainan,Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Southern Taiwan University of Science and Technology,Dept. of Computer Science and Information Engineering,Tainan,Taiwan, R.O.C","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103274013","display_name":"Michael T. Lee","orcid":"https://orcid.org/0000-0003-4453-3151"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsung-Lu Michael Lee","raw_affiliation_strings":["Southern Taiwan University of Science and Technology,Dept. of Computer Science and Information Engineering,Tainan,Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Southern Taiwan University of Science and Technology,Dept. of Computer Science and Information Engineering,Tainan,Taiwan, R.O.C","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707377","display_name":"Chen Wu","orcid":"https://orcid.org/0000-0001-8808-8737"},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]},{"id":"https://openalex.org/I142066694","display_name":"ITRI International","ror":"https://ror.org/04wwsbd59","country_code":"US","type":"facility","lineage":["https://openalex.org/I142066694"]}],"countries":["TW","US"],"is_corresponding":false,"raw_author_name":"Chung Yi Wu","raw_affiliation_strings":["Industrial Technology Research Institute (ITRI),Green Energy and Environment Research Laboratory,Tainan,Taiwan"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Research Institute (ITRI),Green Energy and Environment Research Laboratory,Tainan,Taiwan","institution_ids":["https://openalex.org/I4210148468","https://openalex.org/I142066694"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066639832","display_name":"Chien\u2010Chung Huang","orcid":"https://orcid.org/0000-0003-3445-4353"},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]},{"id":"https://openalex.org/I142066694","display_name":"ITRI International","ror":"https://ror.org/04wwsbd59","country_code":"US","type":"facility","lineage":["https://openalex.org/I142066694"]}],"countries":["TW","US"],"is_corresponding":false,"raw_author_name":"Chien-Chung Huang","raw_affiliation_strings":["Industrial Technology Research Institute (ITRI),Green Energy and Environment Research Laboratory,Tainan,Taiwan"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Research Institute (ITRI),Green Energy and Environment Research Laboratory,Tainan,Taiwan","institution_ids":["https://openalex.org/I4210148468","https://openalex.org/I142066694"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060149727"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20666043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9868000149726868,"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"}},"topics":[{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9868000149726868,"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"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9685999751091003,"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/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9312000274658203,"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/cloud-computing","display_name":"Cloud computing","score":0.766527533531189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6598777174949646},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.658048689365387},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.6481184363365173},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.5664961338043213},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5457082390785217},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.45068424940109253},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4354393780231476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4181462228298187},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.21823853254318237},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16254690289497375}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.766527533531189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6598777174949646},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.658048689365387},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.6481184363365173},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.5664961338043213},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5457082390785217},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.45068424940109253},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4354393780231476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4181462228298187},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.21823853254318237},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16254690289497375},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ias62731.2025.11061607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias62731.2025.11061607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Industry Applications Society Annual Meeting (IAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8399999737739563,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2748162992","https://openalex.org/W2991081473","https://openalex.org/W3043084043","https://openalex.org/W4312574061","https://openalex.org/W4312689248","https://openalex.org/W4392809779"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,71,78],"cloud-based":[4],"forecasting":[5,31,91],"system":[6,107],"for":[7,41,66,89],"renewable":[8,27,52,113,138],"energy":[9,28,55,139],"generation":[10],"and":[11,36,44,54,96,128,141],"battery":[12,130],"State":[13],"of":[14,26,32,92,121],"Health":[15],"(SOH)":[16],"prediction":[17],"using":[18],"Temporal":[19],"Convolutional":[20],"Networks":[21],"(TCN).":[22],"As":[23],"the":[24,106],"adoption":[25],"accelerates,":[29],"precise":[30],"both":[33,122],"power":[34,126],"production":[35,127],"storage":[37,56,142],"capacity":[38],"becomes":[39],"critical":[40],"grid":[42],"stability":[43],"efficiency.":[45],"Using":[46],"hourly":[47],"data":[48,67],"collected":[49],"from":[50],"operational":[51],"plants":[53],"systems":[57],"over":[58],"one":[59],"year,":[60],"our":[61],"methodology":[62],"employs":[63],"polynomial":[64],"regression":[65],"smoothing":[68],"before":[69],"applying":[70],"five-layer":[72],"TCN":[73],"architecture.":[74],"The":[75,115],"model":[76],"demonstrates":[77],"superior":[79],"temporal":[80],"pattern":[81],"recognition":[82],"compared":[83],"to":[84,136],"traditional":[85],"LSTM":[86],"approaches,":[87],"particularly":[88],"multi-horizon":[90],"intermittent":[93],"resources.":[94],"Containerized":[95],"deployed":[97],"via":[98],"Google":[99],"Cloud\u2019s":[100],"Vertex":[101],"AI":[102],"with":[103],"Grafana":[104],"visualization,":[105],"enables":[108],"scalable":[109],"implementation":[110],"across":[111],"diverse":[112],"assets.":[114],"results":[116],"show":[117],"an":[118],"effective":[119],"capture":[120],"short-term":[123],"variability":[124],"in":[125],"long-term":[129],"degradation":[131],"trends,":[132],"which":[133],"is":[134],"essential":[135],"optimize":[137],"dispatch":[140],"operations.":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
