{"id":"https://openalex.org/W3108378502","doi":"https://doi.org/10.1145/3427771.3427852","title":"Edge computed NILM","display_name":"Edge computed NILM","publication_year":2020,"publication_date":"2020-11-18","ids":{"openalex":"https://openalex.org/W3108378502","doi":"https://doi.org/10.1145/3427771.3427852","mag":"3108378502"},"language":"en","primary_location":{"id":"doi:10.1145/3427771.3427852","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3427771.3427852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Workshop on Non-Intrusive Load Monitoring","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/A5101939381","display_name":"Shamim Ahmed","orcid":"https://orcid.org/0000-0002-9968-4128"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shamim Ahmed","raw_affiliation_strings":["Research and Development Fludia, Suresnes, Hauts-de-Seine, France"],"affiliations":[{"raw_affiliation_string":"Research and Development Fludia, Suresnes, Hauts-de-Seine, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003948328","display_name":"Marc Bons","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marc Bons","raw_affiliation_strings":["Research and Development Fludia, Suresnes, Hauts-de-Seine, France"],"affiliations":[{"raw_affiliation_string":"Research and Development Fludia, Suresnes, Hauts-de-Seine, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101939381"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5994,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.90389499,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"44","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","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/T10603","display_name":"Smart Grid Energy Management","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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8366846442222595},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.7868087887763977},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7798702716827393},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6529762744903564},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6525387763977051},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5832483172416687},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5776938199996948},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5771399736404419},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5590754151344299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43993884325027466},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4154163599014282},{"id":"https://openalex.org/keywords/metering-mode","display_name":"Metering mode","score":0.4133709967136383},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3893204629421234},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3798518478870392},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1743004322052002},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09812533855438232}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8366846442222595},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.7868087887763977},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7798702716827393},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6529762744903564},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6525387763977051},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5832483172416687},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5776938199996948},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5771399736404419},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5590754151344299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43993884325027466},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4154163599014282},{"id":"https://openalex.org/C30905978","wikidata":"https://www.wikidata.org/wiki/Q815598","display_name":"Metering mode","level":2,"score":0.4133709967136383},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3893204629421234},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3798518478870392},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1743004322052002},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09812533855438232},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3427771.3427852","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3427771.3427852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Workshop on Non-Intrusive Load Monitoring","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1479651931","https://openalex.org/W1996944908","https://openalex.org/W2123910460","https://openalex.org/W2559280146","https://openalex.org/W2612445135","https://openalex.org/W2914912410","https://openalex.org/W2963030810","https://openalex.org/W2971067036","https://openalex.org/W3102977103"],"related_works":["https://openalex.org/W3116709161","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313463218","https://openalex.org/W4312996489","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435"],"abstract_inverted_index":{"In":[0,93,143,164],"the":[1,9,23,28,50,58,65,77,108,118,144,165],"context":[2],"of":[3,15,206],"residential":[4],"Non-intrusive":[5],"load":[6],"monitoring":[7],"(NILM),":[8],"usual":[10],"service":[11],"deployment":[12],"process":[13,60],"consists":[14],"collecting":[16],"data":[17,90],"from":[18],"a":[19,35,68,74,123,204],"metering":[20],"device":[21,181],"to":[22,57,86,95,110,134,156,173,178,231],"cloud,":[24],"run":[25,111],"algorithms":[26,113],"on":[27,49,67,103,114,117,203],"cloud":[29,59],"and":[30,83,160,184,196,199,209,221],"then":[31],"display":[32],"results":[33],"in":[34,39,176],"Web":[36],"front":[37],"or":[38],"an":[40,97,147,158],"App.":[41],"This":[42],"approach":[43],"comes":[44],"with":[45,139,189],"two":[46],"major":[47],"problems:":[48],"one":[51],"hand,":[52,79],"important":[53],"resources":[54],"are":[55,81],"allocated":[56],"(including":[61],"maintenance)":[62],"while":[63],"selling":[64],"solution":[66],"substantial":[69],"subscription":[70],"basis":[71],"is":[72],"still":[73],"challenge.":[75],"On":[76],"other":[78],"end-users":[80],"more":[82,84],"reluctant":[85],"see":[87],"their":[88],"personal":[89],"being":[91],"uploaded.":[92],"order":[94,177],"propose":[96],"alternative,":[98],"this":[99],"research":[100],"has":[101,130,153,170,214,228],"focused":[102],"edge":[104,180],"computed":[105],"NILM,":[106],"namely":[107],"possibility":[109],"NILM":[112],"existing":[115],"devices":[116],"end-user":[119],"side,":[120],"such":[121],"as":[122],"smart":[124],"phone.":[125],"A":[126],"two-stage":[127],"model":[128,141],"development":[129],"been":[131,154,171,215,229],"carried":[132],"out":[133],"obtain":[135,157],"good":[136],"disaggregation":[137],"accuracy":[138],"lower":[140],"size.":[142],"first":[145],"stage,":[146,167],"efficient":[148],"deep":[149],"learning":[150],"algorithm":[151],"(MobileNet)":[152],"adopted":[155],"accurate":[159],"light":[161],"weight":[162],"model.":[163],"second":[166],"TensorFlow":[168,223],"Lite":[169,224],"used":[172],"compress":[174],"further,":[175],"reduce":[179],"memory":[182],"usage":[183],"computing":[185],"time.":[186],"To":[187],"deal":[188],"real-life":[190],"diversity,":[191],"we":[192],"have":[193],"built":[194],"large":[195],"diverse":[197],"training":[198],"testing":[200],"sets":[201],"based":[202],"combination":[205],"HES,":[207],"UKDALE":[208],"REFIT":[210],"datasets.":[211],"Disaggregation":[212],"performance":[213],"assessed":[216],"for":[217],"both":[218],"models:":[219],"before":[220],"after":[222],"compression.":[225],"Comparative":[226],"analysis":[227],"performed":[230],"facilitate":[232],"implementation":[233],"choices.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2020-12-07T00:00:00"}
