{"id":"https://openalex.org/W3038802905","doi":"https://doi.org/10.1109/jsyst.2020.3001630","title":"Boosting Grid Efficiency and Resiliency by Releasing V2G Potentiality Through a Novel Rolling Prediction-Decision Framework and Deep-LSTM Algorithm","display_name":"Boosting Grid Efficiency and Resiliency by Releasing V2G Potentiality Through a Novel Rolling Prediction-Decision Framework and Deep-LSTM Algorithm","publication_year":2020,"publication_date":"2020-06-29","ids":{"openalex":"https://openalex.org/W3038802905","doi":"https://doi.org/10.1109/jsyst.2020.3001630","mag":"3038802905"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2020.3001630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2020.3001630","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"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 Systems 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/A5101549934","display_name":"Shuangqi Li","orcid":"https://orcid.org/0000-0002-2935-8546"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangqi Li","raw_affiliation_strings":["Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075927600","display_name":"Chenghong Gu","orcid":"https://orcid.org/0000-0002-3306-767X"},"institutions":[{"id":"https://openalex.org/I4210121317","display_name":"Centre for Sustainable Energy","ror":"https://ror.org/02z06eb16","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I4210121317"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chenghong Gu","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, Centre for Sustainable Power Distribution, Bath, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3306-767X","affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Centre for Sustainable Power Distribution, Bath, U.K","institution_ids":["https://openalex.org/I4210121317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410888","display_name":"Jianwei Li","orcid":"https://orcid.org/0000-0002-4799-2612"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Li","raw_affiliation_strings":["Department of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4799-2612","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101454801","display_name":"Hanxiao Wang","orcid":"https://orcid.org/0000-0002-3949-252X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanxiao Wang","raw_affiliation_strings":["Department of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3949-252X","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015819576","display_name":"Qingqing Yang","orcid":"https://orcid.org/0000-0002-5829-5863"},"institutions":[{"id":"https://openalex.org/I73417466","display_name":"Coventry University","ror":"https://ror.org/01tgmhj36","country_code":"GB","type":"education","lineage":["https://openalex.org/I73417466"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qingqing Yang","raw_affiliation_strings":["Faculty of Engineering, Environment and Computing, Coventry University, Coventry, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5829-5863","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Environment and Computing, Coventry University, Coventry, U.K","institution_ids":["https://openalex.org/I73417466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2667,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.94968607,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"15","issue":"2","first_page":"2562","last_page":"2570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","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/T10768","display_name":"Electric Vehicles and Infrastructure","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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9998999834060669,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9973999857902527,"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/boosting","display_name":"Boosting (machine learning)","score":0.8122866153717041},{"id":"https://openalex.org/keywords/vehicle-to-grid","display_name":"Vehicle-to-grid","score":0.7409133315086365},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6751058101654053},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6458721160888672},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.572540283203125},{"id":"https://openalex.org/keywords/power-grid","display_name":"Power grid","score":0.4486801028251648},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.42097195982933044},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.332689106464386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32419174909591675},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24665400385856628},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2201208472251892}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8122866153717041},{"id":"https://openalex.org/C2780068603","wikidata":"https://www.wikidata.org/wiki/Q1783938","display_name":"Vehicle-to-grid","level":4,"score":0.7409133315086365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6751058101654053},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6458721160888672},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.572540283203125},{"id":"https://openalex.org/C2983254600","wikidata":"https://www.wikidata.org/wiki/Q1096907","display_name":"Power grid","level":3,"score":0.4486801028251648},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42097195982933044},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.332689106464386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32419174909591675},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24665400385856628},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2201208472251892},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsyst.2020.3001630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2020.3001630","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"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 Systems Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G3116400250","display_name":null,"funder_award_id":"51807008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6231080173","display_name":null,"funder_award_id":"U1864202","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1845187203","https://openalex.org/W1988396551","https://openalex.org/W1989295701","https://openalex.org/W1994505812","https://openalex.org/W2003921981","https://openalex.org/W2043294015","https://openalex.org/W2065886006","https://openalex.org/W2077193386","https://openalex.org/W2090064571","https://openalex.org/W2091780949","https://openalex.org/W2092629338","https://openalex.org/W2104177071","https://openalex.org/W2128858148","https://openalex.org/W2318752085","https://openalex.org/W2327168173","https://openalex.org/W2346606088","https://openalex.org/W2524973253","https://openalex.org/W2525625701","https://openalex.org/W2546742023","https://openalex.org/W2548946612","https://openalex.org/W2550277212","https://openalex.org/W2584521611","https://openalex.org/W2614431068","https://openalex.org/W2624742291","https://openalex.org/W2755021370","https://openalex.org/W2770511670","https://openalex.org/W2773522188","https://openalex.org/W2778116041","https://openalex.org/W2788786189","https://openalex.org/W2901501644","https://openalex.org/W2903925216","https://openalex.org/W2919001569","https://openalex.org/W2919250740","https://openalex.org/W2928663147","https://openalex.org/W2941362548","https://openalex.org/W2944286345","https://openalex.org/W2944737497","https://openalex.org/W2971135123","https://openalex.org/W2974793789","https://openalex.org/W3000662100","https://openalex.org/W3012001604","https://openalex.org/W3015380980","https://openalex.org/W3028617481"],"related_works":["https://openalex.org/W4280554332","https://openalex.org/W2581647155","https://openalex.org/W4392016336","https://openalex.org/W2998808119","https://openalex.org/W4392851739","https://openalex.org/W4366374081","https://openalex.org/W2916229586","https://openalex.org/W2356411958","https://openalex.org/W2083287037","https://openalex.org/W3127987808"],"abstract_inverted_index":{"The":[0,126],"bidirectional":[1],"link":[2],"between":[3,110],"the":[4,11,24,70,108,116,137,142,153],"power":[5],"grid":[6,143],"and":[7,14,44,51,76,89,112,123,139],"electric":[8],"vehicles":[9],"enables":[10],"flexible,":[12],"cheap,":[13],"fast-responding":[15],"application":[16],"of":[17,67,72,141],"vehicle":[18],"batteries":[19],"to":[20,23,29,42,106],"provide":[21],"services":[22,150],"grid.":[25],"However,":[26],"in":[27],"order":[28],"realize":[30],"this,":[31],"a":[32,56,84,98],"critical":[33],"issue":[34],"that":[35,61,136],"should":[36],"be":[37,120,145],"addressed":[38],"first":[39],"is":[40,92],"how":[41],"predict":[43],"utilize":[45],"vehicle-to-grid":[46],"(V2G)":[47],"schedulable":[48],"capacity":[49,87],"accurately":[50],"reasonably.":[52],"This":[53],"article":[54,96],"proposes":[55],"novel":[57,85],"V2G":[58,64,86,104,149],"scheduling":[59,105],"approach":[60],"considers":[62],"predicted":[63,117],"capacity.":[65],"First":[66],"all,":[68],"with":[69,148],"concept":[71],"dynamic":[73],"rolling":[74,100],"prediction":[75,90],"deep":[77],"long":[78],"short":[79],"term":[80],"memory":[81],"(LSTM)":[82],"algorithm,":[83],"modeling":[88],"method":[91],"developed.":[93],"Then,":[94],"this":[95],"designs":[97],"brand-new":[99],"prediction-decision":[101],"framework":[102],"for":[103],"bridge":[107],"gap":[109],"optimization":[111],"forecasting":[113],"phases,":[114],"where":[115],"information":[118],"can":[119,144],"more":[121],"reasonably":[122],"adequately":[124],"utilized.":[125],"proposed":[127,154],"methodologies":[128],"are":[129],"verified":[130],"by":[131,152],"numerical":[132],"analysis,":[133],"which":[134],"illustrates":[135],"efficiency":[138],"resiliency":[140],"significantly":[146],"enhanced":[147],"managed":[151],"methods.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-12T08:23:45.883708","created_date":"2025-10-10T00:00:00"}
