{"id":"https://openalex.org/W4412097053","doi":"https://doi.org/10.1007/s40747-025-02002-8","title":"Privacy-aware electric vehicle load forecasting via blockchain-based federated transfer learning","display_name":"Privacy-aware electric vehicle load forecasting via blockchain-based federated transfer learning","publication_year":2025,"publication_date":"2025-07-07","ids":{"openalex":"https://openalex.org/W4412097053","doi":"https://doi.org/10.1007/s40747-025-02002-8"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-025-02002-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02002-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02002-8.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02002-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069132601","display_name":"Ruochen Jin","orcid":"https://orcid.org/0000-0002-0822-539X"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruochen Jin","raw_affiliation_strings":["Software Engineering Institute, East China Normal University, North Zhongshan Road, Shanghai, 100190, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Software Engineering Institute, East China Normal University, North Zhongshan Road, Shanghai, 100190, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100410248","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0001-5318-6388"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Liu","raw_affiliation_strings":["Software Engineering Institute, East China Normal University, North Zhongshan Road, Shanghai, 100190, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Software Engineering Institute, East China Normal University, North Zhongshan Road, Shanghai, 100190, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069132601"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.9936,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.87299052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"11","issue":"9","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9968000054359436,"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":0.9968000054359436,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9879999756813049,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/blockchain","display_name":"Blockchain","score":0.9639051556587219},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.644035816192627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5726900696754456},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5172322392463684},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.4625825881958008},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.38099080324172974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30861252546310425}],"concepts":[{"id":"https://openalex.org/C2779687700","wikidata":"https://www.wikidata.org/wiki/Q20514253","display_name":"Blockchain","level":2,"score":0.9639051556587219},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.644035816192627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5726900696754456},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5172322392463684},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4625825881958008},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.38099080324172974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30861252546310425}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-025-02002-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02002-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02002-8.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:90bac7e6e9ea4a628fc710c3bbbe7d2a","is_oa":true,"landing_page_url":"https://doaj.org/article/90bac7e6e9ea4a628fc710c3bbbe7d2a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 11, Iss 9, Pp 1-13 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-025-02002-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02002-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02002-8.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7546529557","display_name":null,"funder_award_id":"62072184","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412097053.pdf","grobid_xml":"https://content.openalex.org/works/W4412097053.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1965337017","https://openalex.org/W1990579857","https://openalex.org/W2004571436","https://openalex.org/W2014533616","https://openalex.org/W2049814057","https://openalex.org/W2085577046","https://openalex.org/W2132172731","https://openalex.org/W2161057207","https://openalex.org/W2275088575","https://openalex.org/W2560420611","https://openalex.org/W2567950790","https://openalex.org/W2622052728","https://openalex.org/W2762861296","https://openalex.org/W2783400274","https://openalex.org/W2921980263","https://openalex.org/W2924261422","https://openalex.org/W2964262038","https://openalex.org/W3003860764","https://openalex.org/W3023703922","https://openalex.org/W3049097602","https://openalex.org/W3080667742","https://openalex.org/W3110862148","https://openalex.org/W3126709645","https://openalex.org/W3172306812","https://openalex.org/W4224295330","https://openalex.org/W4306864075","https://openalex.org/W4401823493","https://openalex.org/W6607110455"],"related_works":["https://openalex.org/W4210406818","https://openalex.org/W4306779889","https://openalex.org/W3048554917","https://openalex.org/W3211706803","https://openalex.org/W4382775358","https://openalex.org/W4246942721","https://openalex.org/W3209862047","https://openalex.org/W4386732777","https://openalex.org/W4304136894","https://openalex.org/W2989851257"],"abstract_inverted_index":{"Electric":[0],"vehicle":[1],"(EV)":[2],"load":[3,40,142],"forecasting":[4,24,143],"has":[5],"become":[6],"critical":[7],"with":[8,53,100],"the":[9,75],"rapid":[10],"growth":[11],"of":[12,102],"EVs":[13],"and":[14,93,115,131,163,178],"fast-charging":[15],"technologies.":[16],"However,":[17],"privacy":[18,174],"concerns":[19],"pose":[20],"challenges":[21],"to":[22,49,59,73,78],"traditional":[23],"methods.":[25],"Our":[26,42,68,151],"work":[27,69],"proposes":[28],"a":[29,61,136],"novel":[30],"blockchain-based":[31,160],"federated":[32],"transfer":[33,71,164],"learning":[34,72,165],"framework":[35,87,134],"for":[36,119,139,166],"privacy-aware":[37],"probabilistic":[38],"EV":[39,141],"forecasting.":[41],"approach":[43],"uses":[44],"secure":[45,154,161],"aggregation":[46,156],"via":[47],"blockchain":[48],"prevent":[50],"gradient":[51],"leakage,":[52],"smart":[54],"contracts":[55],"aggregating":[56],"masked":[57],"vectors":[58],"produce":[60],"global":[62,76],"model":[63,77,167],"without":[64],"exposing":[65],"individual":[66],"data.":[67],"introduces":[70],"adapt":[74],"varying":[79,103],"charging":[80],"scenarios":[81],"by":[82],"transferring":[83],"layer-wise":[84],"weights.":[85],"The":[86],"integrates":[88],"machine":[89,129],"learning,":[90,130],"pattern":[91],"recognition,":[92],"big":[94],"data":[95,127],"analytics":[96],"methodologies.":[97],"Experimental":[98],"results":[99],"datasets":[101],"client":[104],"numbers":[105],"demonstrate":[106],"that":[107],"our":[108],"method":[109],"outperforms":[110],"baselines":[111],"in":[112,126,148,170,173],"prediction":[113,179],"accuracy":[114],"communication":[116,176],"efficiency,":[117],"particularly":[118],"large-scale":[120],"scenarios.":[121],"By":[122],"combining":[123],"advanced":[124],"techniques":[125],"mining,":[128],"blockchain,":[132],"this":[133],"provides":[135],"scalable":[137],"solution":[138],"privacy-preserving":[140],"while":[144],"ensuring":[145],"robust":[146],"performance":[147],"dynamic":[149],"environments.":[150],"innovations":[152],"include":[153],"parameter":[155],"using":[157],"homomorphic":[158],"encryption,":[159],"aggregation,":[162],"adaptability,":[168],"resulting":[169],"significant":[171],"improvements":[172],"protection,":[175],"overhead,":[177],"accuracy.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}