{"id":"https://openalex.org/W4313153193","doi":"https://doi.org/10.1109/ccta49430.2022.9966117","title":"Load Prediction Based Remaining Discharge Energy Estimation Using a Combined Online and Offline Prediction Framework","display_name":"Load Prediction Based Remaining Discharge Energy Estimation Using a Combined Online and Offline Prediction Framework","publication_year":2022,"publication_date":"2022-08-23","ids":{"openalex":"https://openalex.org/W4313153193","doi":"https://doi.org/10.1109/ccta49430.2022.9966117"},"language":"en","primary_location":{"id":"doi:10.1109/ccta49430.2022.9966117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta49430.2022.9966117","pdf_url":null,"source":{"id":"https://openalex.org/S4363608038","display_name":"2022 IEEE Conference on Control Technology and Applications (CCTA)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Conference on Control Technology and Applications (CCTA)","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/A5000287648","display_name":"Ollie Hatherall","orcid":"https://orcid.org/0000-0003-3999-2038"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ollie Hatherall","raw_affiliation_strings":["Warwick Manufacturing Group, University of Warwick,Coventry,United Kingdom,CV4 7AL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Warwick Manufacturing Group, University of Warwick,Coventry,United Kingdom,CV4 7AL","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087748785","display_name":"James Marco","orcid":"https://orcid.org/0000-0001-6827-0830"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"James Marco","raw_affiliation_strings":["Warwick Manufacturing Group, University of Warwick,Coventry,United Kingdom,CV4 7AL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Warwick Manufacturing Group, University of Warwick,Coventry,United Kingdom,CV4 7AL","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089630630","display_name":"Anup Barari","orcid":null},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anup Barari","raw_affiliation_strings":["Warwick Manufacturing Group, University of Warwick,Coventry,United Kingdom,CV4 7AL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Warwick Manufacturing Group, University of Warwick,Coventry,United Kingdom,CV4 7AL","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067942735","display_name":"Mona Faraji Niri","orcid":"https://orcid.org/0000-0002-9087-5091"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mona Faraji Niri","raw_affiliation_strings":["Warwick Manufacturing Group, University of Warwick,Coventry,United Kingdom,CV4 7AL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Warwick Manufacturing Group, University of Warwick,Coventry,United Kingdom,CV4 7AL","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":null,"apc_paid":null,"fwci":1.0638,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79592497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1196","last_page":"1201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":1.0,"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":1.0,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9889000058174133,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9656999707221985,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6999480724334717},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6229981780052185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6107065081596375},{"id":"https://openalex.org/keywords/state-of-charge","display_name":"State of charge","score":0.5732337832450867},{"id":"https://openalex.org/keywords/load-profile","display_name":"Load profile","score":0.4801163673400879},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4545712471008301},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3661600351333618},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.354092538356781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22614547610282898},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19782206416130066},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.16242322325706482},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.147076815366745},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14100685715675354}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6999480724334717},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6229981780052185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6107065081596375},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.5732337832450867},{"id":"https://openalex.org/C2777908891","wikidata":"https://www.wikidata.org/wiki/Q1806775","display_name":"Load profile","level":3,"score":0.4801163673400879},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4545712471008301},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3661600351333618},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.354092538356781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22614547610282898},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19782206416130066},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.16242322325706482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.147076815366745},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14100685715675354},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ccta49430.2022.9966117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta49430.2022.9966117","pdf_url":null,"source":{"id":"https://openalex.org/S4363608038","display_name":"2022 IEEE Conference on Control Technology and Applications (CCTA)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:172118","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Item"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1159302035","https://openalex.org/W2015050925","https://openalex.org/W2023397156","https://openalex.org/W2056859449","https://openalex.org/W2098318489","https://openalex.org/W2134089414","https://openalex.org/W2165763581","https://openalex.org/W2189625117","https://openalex.org/W2294474512","https://openalex.org/W2740136822","https://openalex.org/W2761411298","https://openalex.org/W2964410734","https://openalex.org/W3000573315","https://openalex.org/W3007509626","https://openalex.org/W3085820219","https://openalex.org/W3117130556","https://openalex.org/W3154066508","https://openalex.org/W3193642774","https://openalex.org/W4253573210","https://openalex.org/W4292478130","https://openalex.org/W6679849079","https://openalex.org/W6686980507","https://openalex.org/W6823271252"],"related_works":["https://openalex.org/W1562159987","https://openalex.org/W3190332208","https://openalex.org/W3126531014","https://openalex.org/W2098124661","https://openalex.org/W2519883542","https://openalex.org/W3006423619","https://openalex.org/W3169099857","https://openalex.org/W2004734718","https://openalex.org/W4385625847","https://openalex.org/W3195056770"],"abstract_inverted_index":{"Remaining":[0],"discharge":[1,18],"energy":[2,8],"(RDE)":[3],"indicates":[4],"how":[5],"much":[6],"useful":[7],"can":[9,27],"be":[10,28],"extracted":[11],"from":[12],"a":[13,53,135,149],"battery":[14,25],"before":[15],"reaching":[16],"the":[17,32,62,101,105,110,128,156,162],"limit.":[19],"Future":[20],"current":[21],"loading":[22],"on":[23],"vehicle":[24],"systems":[26],"predicted":[29],"to":[30,44,60,75,84,99,126,133,173],"increase":[31],"accuracy":[33,147,170],"of":[34,155,164],"RDE":[35,146],"estimations.":[36],"This":[37,141],"is":[38,73,82,124,159],"done":[39],"by":[40],"using":[41,52],"clustering":[42,71],"techniques":[43],"group":[45],"load":[46,77,92,130,138,151],"measurements":[47],"into":[48],"states,":[49],"and":[50,104],"then":[51],"probability-based":[54],"framework,":[55],"along":[56],"with":[57],"real-world":[58],"data,":[59],"calculate":[61],"transitional":[63],"probabilities":[64],"between":[65],"states.":[66],"Here,":[67],"an":[68],"adapted":[69],"K-means":[70],"method":[72,103,112,143],"used":[74,83],"cluster":[76],"profile":[78],"data.":[79],"Markov":[80],"modelling":[81],"produce":[85,134],"state":[86],"transition":[87],"probabilities.":[88],"Two":[89],"methods":[90,132],"for":[91,117,148],"prediction":[93,131,139],"are":[94,97],"used,":[95],"which":[96],"referred":[98],"as":[100],"offline-training":[102,111],"moving":[106],"window":[107],"method,":[108],"where":[109],"has":[113],"not":[114],"been":[115],"implemented":[116,125],"this":[118],"application":[119],"before.":[120],"Additional":[121],"control":[122],"logic":[123],"combine":[127],"proposed":[129,157],"new":[136],"hybrid":[137,142],"method.":[140],"shows":[144],"improved":[145],"generalised":[150],"case.":[152],"The":[153],"robustness":[154],"technique":[158],"assessed":[160],"in":[161],"presence":[163],"model":[165],"errors,":[166],"still":[167],"showing":[168],"good":[169],"when":[171],"compared":[172],"state-of-charge":[174],"based":[175],"calculations.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
