{"id":"https://openalex.org/W3129904126","doi":"https://doi.org/10.1109/icdmw51313.2020.00103","title":"An Accelerated Continual Learning with Demand Prediction based Scheduling in Edge-Cloud Computing","display_name":"An Accelerated Continual Learning with Demand Prediction based Scheduling in Edge-Cloud Computing","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3129904126","doi":"https://doi.org/10.1109/icdmw51313.2020.00103","mag":"3129904126"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw51313.2020.00103","pdf_url":null,"source":{"id":"https://openalex.org/S4363608316","display_name":"2021 International Conference on Data Mining Workshops (ICDMW)","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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100731256","display_name":"Changha Lee","orcid":"https://orcid.org/0000-0003-3687-2989"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Changha Lee","raw_affiliation_strings":["School of Electrical Engineering, KAIST, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654659","display_name":"Seong-Hwan Kim","orcid":"https://orcid.org/0000-0002-3842-3821"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Hwan Kim","raw_affiliation_strings":["School of Electrical Engineering, KAIST, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045403869","display_name":"Chan\u2010Hyun Youn","orcid":"https://orcid.org/0000-0002-3970-7308"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chan-Hyun Youn","raw_affiliation_strings":["School of Electrical Engineering, KAIST, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.297,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.296063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":60,"max":69},"biblio":{"volume":"106","issue":null,"first_page":"717","last_page":"722"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9997,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9997,"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":0.9971,"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/T12676","display_name":"Machine Learning and ELM","score":0.9925,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/smart-meter","display_name":"Smart meter","score":0.441955}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7935443},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.7335273},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7154155},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.61570114},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.54805726},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.52596307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5214795},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.50459516},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.49997187},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4740776},{"id":"https://openalex.org/C2779510800","wikidata":"https://www.wikidata.org/wiki/Q1630602","display_name":"Smart meter","level":3,"score":0.441955},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42877778},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39560884},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36079296},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.34382695},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15118891},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw51313.2020.00103","pdf_url":null,"source":{"id":"https://openalex.org/S4363608316","display_name":"2021 International Conference on Data Mining Workshops (ICDMW)","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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5,"id":"https://metadata.un.org/sdg/9"}],"grants":[{"funder":"https://openalex.org/F4320326258","funder_display_name":"Korea Electric Power Corporation","award_id":"R18XA05"},{"funder":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion","award_id":"2017-0-00294"}],"datasets":[],"versions":[],"referenced_works_count":20,"referenced_works":["https://openalex.org/W139044672","https://openalex.org/W1549707591","https://openalex.org/W2009588584","https://openalex.org/W2064122435","https://openalex.org/W2079554354","https://openalex.org/W2103753221","https://openalex.org/W2407374891","https://openalex.org/W2534230712","https://openalex.org/W2553567329","https://openalex.org/W2559497226","https://openalex.org/W2754252319","https://openalex.org/W2789344914","https://openalex.org/W2803403013","https://openalex.org/W2902625698","https://openalex.org/W2962724315","https://openalex.org/W2963258546","https://openalex.org/W2963559848","https://openalex.org/W2964189064","https://openalex.org/W2982364114","https://openalex.org/W4295883599"],"related_works":["https://openalex.org/W4316660856","https://openalex.org/W3205631650","https://openalex.org/W3018909029","https://openalex.org/W2898021358","https://openalex.org/W2775355700","https://openalex.org/W2387071565","https://openalex.org/W2246071452","https://openalex.org/W2165970106","https://openalex.org/W1985785385","https://openalex.org/W1124398682"],"abstract_inverted_index":{"As":[0],"the":[1,21,79,89,107,116,144,162,168,180,187],"development":[2],"of":[3,12,39,81,158,182],"smart":[4,15,22,70],"grid":[5,23],"with":[6,176],"Advanced":[7],"Metering":[8],"Infrastructure":[9],"(AMI)":[10],"consisting":[11],"network":[13,87],"infrastructure,":[14],"meter,":[16],"and":[17,34,139,166],"data":[18,28,68,100,117,151],"management":[19],"system,":[20],"system":[24,136],"can":[25],"analyze":[26,66],"energy":[27,32],"to":[29,51,121,137,186],"efficiently":[30],"control":[31],"generation":[33],"distribution.":[35],"Through":[36],"recent":[37],"advance":[38],"analysis":[40],"based":[41,72],"on":[42,65,73,113,134,143],"neural":[43,47,86],"network,":[44],"some":[45],"deep":[46,74,85,132],"networks":[48],"have":[49],"proven":[50],"perform":[52],"better":[53],"than":[54],"conventional":[55],"analytical":[56],"techniques.":[57],"However,":[58],"Basic":[59],"learning":[60,75,83,91,133,141],"process":[61],"is":[62,96,102],"facing":[63],"challenges":[64],"time-series":[67],"from":[69,170],"meter":[71],"in":[76],"realtime.":[77],"Although":[78],"strategies":[80],"gradually":[82],"a":[84,129],"through":[88],"continual":[90,131],"method":[92],"was":[93],"proposed,":[94],"it":[95],"only":[97],"effective":[98],"when":[99],"feature":[101,152],"not":[103],"significantly":[104],"changed,":[105],"therefore,":[106],"performance":[108,142,175],"improvements":[109],"are":[110],"still":[111],"needed":[112],"environment":[114],"where":[115],"distribution":[118],"fluctuates":[119],"according":[120],"different":[122],"power":[123,146],"consumption":[124,147],"habits.":[125],"Therefore,":[126],"we":[127],"proposed":[128,183],"scheduled":[130],"edge-cloud":[135],"improve":[138],"accelerate":[140],"multi-client":[145],"data,":[148],"which":[149],"biased":[150],"varies":[153],"dramatically.":[154],"Using":[155],"cosine":[156],"similarity":[157],"electric":[159],"load":[160],"pattern,":[161],"scheduling":[163],"algorithm":[164],"manages":[165],"controls":[167],"gradient":[169],"optimizing":[171],"process.":[172],"The":[173],"evaluated":[174],"general":[177],"experiments":[178],"shows":[179],"validity":[181],"scheme":[184],"compared":[185],"base":[188],"method.":[189]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3129904126","counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2024-12-31T01:34:08.644589","created_date":"2021-03-01"}