{"id":"https://openalex.org/W3000731708","doi":"https://doi.org/10.1109/jiot.2020.2966660","title":"Deep-Learning-Based Joint Optimization of Renewable Energy Storage and Routing in Vehicular Energy Network","display_name":"Deep-Learning-Based Joint Optimization of Renewable Energy Storage and Routing in Vehicular Energy Network","publication_year":2020,"publication_date":"2020-01-14","ids":{"openalex":"https://openalex.org/W3000731708","doi":"https://doi.org/10.1109/jiot.2020.2966660","mag":"3000731708"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2020.2966660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.2966660","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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 Internet of Things Journal","raw_type":"journal-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/A5042804333","display_name":"Tingting Fu","orcid":"https://orcid.org/0000-0002-6629-8976"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Fu","raw_affiliation_strings":["Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6629-8976","affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100765524","display_name":"Chaoyu Wang","orcid":"https://orcid.org/0000-0002-0707-7225"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyu Wang","raw_affiliation_strings":["Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0707-7225","affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050651525","display_name":"Nan Cheng","orcid":"https://orcid.org/0000-0001-7907-2071"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Cheng","raw_affiliation_strings":["School of Telecommunications Engineering and State Key Laboratory of ISN, Xidian University, Xi\u2019an, China","School of Telecommunications Engineering and State Key Laboratory of ISN, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-7907-2071","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering and State Key Laboratory of ISN, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Telecommunications Engineering and State Key Laboratory of ISN, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.4415,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.95251496,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"7","issue":"7","first_page":"6229","last_page":"6241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9998999834060669,"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/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9998999834060669,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9995999932289124,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9968000054359436,"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/computer-science","display_name":"Computer science","score":0.8348249197006226},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7495040893554688},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.5011172294616699},{"id":"https://openalex.org/keywords/energy-storage","display_name":"Energy storage","score":0.4577014446258545},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.43544596433639526},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4139330983161926},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24337804317474365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23914247751235962},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09472540020942688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8348249197006226},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7495040893554688},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.5011172294616699},{"id":"https://openalex.org/C73916439","wikidata":"https://www.wikidata.org/wiki/Q837718","display_name":"Energy storage","level":3,"score":0.4577014446258545},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.43544596433639526},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4139330983161926},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24337804317474365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23914247751235962},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09472540020942688},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2020.2966660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.2966660","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G5874986951","display_name":null,"funder_award_id":"61601157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1533868172","https://openalex.org/W1967549278","https://openalex.org/W1973943669","https://openalex.org/W1992509276","https://openalex.org/W2039188563","https://openalex.org/W2051431619","https://openalex.org/W2064675550","https://openalex.org/W2065484995","https://openalex.org/W2073015190","https://openalex.org/W2100128023","https://openalex.org/W2111773724","https://openalex.org/W2141503184","https://openalex.org/W2145039203","https://openalex.org/W2161666560","https://openalex.org/W2161681912","https://openalex.org/W2305422401","https://openalex.org/W2326874813","https://openalex.org/W2396967885","https://openalex.org/W2533328922","https://openalex.org/W2572939427","https://openalex.org/W2739823223","https://openalex.org/W2768969316","https://openalex.org/W2805410871","https://openalex.org/W2805768997","https://openalex.org/W2896334556","https://openalex.org/W2903930254","https://openalex.org/W2919435065","https://openalex.org/W2922146383","https://openalex.org/W2931548779","https://openalex.org/W2962950311","https://openalex.org/W3102492685","https://openalex.org/W4250589301","https://openalex.org/W6675208308"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W2031695474","https://openalex.org/W2586732548","https://openalex.org/W2964765435"],"abstract_inverted_index":{"Recent":[0],"development":[1],"in":[2,32,104,196,214],"renewable":[3,69],"energy-enabled":[4],"electric":[5],"vehicles":[6],"(EVs)":[7],"has":[8],"posed":[9],"challenges":[10],"to":[11,59,73,88,127,152,164,184],"the":[12,17,62,75,90,123,133,137,143,154,159,167,172,188,193,203,224],"stability":[13],"and":[14,34,49,64,92,107,114,157,210],"efficiency":[15,76],"of":[16,27,29,68,77,136,161,216,219,226],"vehicular":[18,35],"energy":[19,33,51,70,79,111],"network":[20],"(VEN),":[21],"which":[22],"is":[23,58,125,139],"a":[24,42,84,96,109,128,148],"concrete":[25],"implementation":[26],"Internet":[28],"Things":[30],"(IoT)":[31],"networks.":[36],"In":[37],"this":[38],"article,":[39],"we":[40,101,174],"study":[41],"VEN":[43,138],"with":[44,223],"time-varying":[45],"point-to-point":[46],"traffic":[47,134,155,221],"flow":[48,98],"adjustable":[50],"storage":[52,66,112],"capacity":[53,113],"at":[54],"stations.":[55],"The":[56,198],"goal":[57],"jointly":[60],"optimize":[61],"routing":[63,103],"dynamic":[65],"allocation":[67],"so":[71],"as":[72,95],"maximize":[74],"plant-to-station":[78],"transferring.":[80],"We":[81,141],"first":[82,178],"adopt":[83],"time-expanded":[85],"topology":[86],"graph":[87],"describe":[89],"scenario":[91],"model":[93],"it":[94],"maximum":[97],"problem.":[99],"Next,":[100],"incorporate":[102],"our":[105,176],"methodology":[106],"derive":[108],"joint":[110,204],"route":[115],"planning":[116],"method":[117,177],"based":[118,186],"on":[119,179,187],"linear":[120],"programming.":[121],"Then,":[122],"problem":[124],"extended":[126],"more":[129],"general":[130],"case,":[131],"where":[132],"pattern":[135,156],"unknown.":[140],"apply":[142],"long":[144],"short-term":[145],"memory":[146],"model,":[147],"deep":[149,227],"learning":[150,163],"method,":[151],"predict":[153],"utilize":[158],"concept":[160],"reinforcement":[162,228],"iteratively":[165],"improve":[166],"prediction":[168],"accuracy.":[169],"To":[170],"evaluate":[171],"performance,":[173],"implement":[175],"regular":[180],"buses,":[181],"then":[182],"extend":[183],"EVs":[185],"real":[189],"trace":[190],"data":[191],"from":[192],"PeMS":[194],"system":[195],"California.":[197],"simulation":[199],"results":[200],"show":[201],"that":[202],"optimization":[205],"can":[206],"achieve":[207],"near-optimal":[208],"performance":[209],"performs":[211],"well":[212],"even":[213],"case":[215],"high":[217],"rate":[218],"missing":[220],"information,":[222],"help":[225],"learning.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
