{"id":"https://openalex.org/W3107922427","doi":"https://doi.org/10.1145/3427771.3427859","title":"UNet-NILM","display_name":"UNet-NILM","publication_year":2020,"publication_date":"2020-11-18","ids":{"openalex":"https://openalex.org/W3107922427","doi":"https://doi.org/10.1145/3427771.3427859","mag":"3107922427"},"language":"en","primary_location":{"id":"doi:10.1145/3427771.3427859","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3427771.3427859","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3427771.3427859","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":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3427771.3427859","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024522295","display_name":"Anthony Faustine","orcid":"https://orcid.org/0000-0002-7838-533X"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Anthony Faustine","raw_affiliation_strings":["CeADAR, University College Dublin"],"affiliations":[{"raw_affiliation_string":"CeADAR, University College Dublin","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047119987","display_name":"Lucas Pereira","orcid":"https://orcid.org/0000-0002-9110-8775"},"institutions":[{"id":"https://openalex.org/I203847022","display_name":"Instituto Polit\u00e9cnico de Lisboa","ror":"https://ror.org/04ea70f07","country_code":"PT","type":"education","lineage":["https://openalex.org/I203847022"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Lucas Pereira","raw_affiliation_strings":["ITI, LARSyS, T\u00e9cnico Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"ITI, LARSyS, T\u00e9cnico Lisboa, Portugal","institution_ids":["https://openalex.org/I203847022"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029672842","display_name":"Hafsa Bousbiat","orcid":"https://orcid.org/0000-0003-0338-732X"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Hafsa Bousbiat","raw_affiliation_strings":["University of Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"University of Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061813914","display_name":"Shridhar Kulkarni","orcid":"https://orcid.org/0000-0001-8077-4011"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Shridhar Kulkarni","raw_affiliation_strings":["Trinity College Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Trinity College Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024522295"],"corresponding_institution_ids":["https://openalex.org/I100930933"],"apc_list":null,"apc_paid":null,"fwci":6.1176,"has_fulltext":true,"cited_by_count":98,"citation_normalized_percentile":{"value":0.97177301,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"84","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9998999834060669,"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":0.9998999834060669,"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/T11220","display_name":"Water Systems and Optimization","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10121","display_name":"Building Energy and Comfort Optimization","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/computer-science","display_name":"Computer science","score":0.8158244490623474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6987744569778442},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6321163177490234},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6211159229278564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5893794298171997},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5506219863891602},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.5420359969139099},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5031618475914001},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.47760865092277527},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4680834412574768},{"id":"https://openalex.org/keywords/quantile-regression","display_name":"Quantile regression","score":0.4639316201210022},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37008023262023926},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08682459592819214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8158244490623474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6987744569778442},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6321163177490234},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6211159229278564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5893794298171997},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5506219863891602},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.5420359969139099},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5031618475914001},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.47760865092277527},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4680834412574768},{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.4639316201210022},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37008023262023926},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08682459592819214},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3427771.3427859","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3427771.3427859","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3427771.3427859","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":{"id":"doi:10.1145/3427771.3427859","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3427771.3427859","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3427771.3427859","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"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G3263541643","display_name":null,"funder_award_id":"UIDB/50009/2020.","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G3272457656","display_name":null,"funder_award_id":"UIDB/","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G3663357362","display_name":null,"funder_award_id":"UIDB/50009/2020","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G3929721829","display_name":null,"funder_award_id":"CEECIND/","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G4964156841","display_name":null,"funder_award_id":"50009/2020","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G5454278309","display_name":null,"funder_award_id":"/2017","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G7093072058","display_name":null,"funder_award_id":"CEECIND/01179/2017","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G787757375","display_name":null,"funder_award_id":"50009","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3107922427.pdf","grobid_xml":"https://content.openalex.org/works/W3107922427.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1479651931","https://openalex.org/W1901129140","https://openalex.org/W1987077486","https://openalex.org/W2091432990","https://openalex.org/W2465358378","https://openalex.org/W2561675875","https://openalex.org/W2566212894","https://openalex.org/W2576071902","https://openalex.org/W2616400984","https://openalex.org/W2626792426","https://openalex.org/W2742079690","https://openalex.org/W2749155099","https://openalex.org/W2751802138","https://openalex.org/W2793964145","https://openalex.org/W2804306644","https://openalex.org/W2808247398","https://openalex.org/W2861817451","https://openalex.org/W2913340405","https://openalex.org/W2946063682","https://openalex.org/W2948816168","https://openalex.org/W2952067596","https://openalex.org/W2963030810","https://openalex.org/W2970229707","https://openalex.org/W2975879372","https://openalex.org/W2990083057","https://openalex.org/W3008626953","https://openalex.org/W3009832084","https://openalex.org/W3012925952","https://openalex.org/W3021704418","https://openalex.org/W3022078741","https://openalex.org/W3044070975","https://openalex.org/W3048922269","https://openalex.org/W3099873379","https://openalex.org/W4385486090"],"related_works":["https://openalex.org/W4206511378","https://openalex.org/W4206618949","https://openalex.org/W2526321210","https://openalex.org/W3205863630","https://openalex.org/W4318833145","https://openalex.org/W2364275385","https://openalex.org/W4388704167","https://openalex.org/W2007977664","https://openalex.org/W4376874882","https://openalex.org/W2224749288"],"abstract_inverted_index":{"Over":[0],"the":[1,27,49,78,122,133],"years,":[2],"an":[3],"enormous":[4],"amount":[5],"of":[6,30,48],"research":[7],"has":[8],"been":[9],"exploring":[10],"Deep":[11],"Neural":[12,17,22],"Networks":[13,18,23],"(DNN),":[14],"particularly":[15],"Convolutional":[16],"(CNNs)":[19],"and":[20,76,87,102,110],"Recurrent":[21],"(RNNs)":[24],"for":[25,53,68,97,127],"estimating":[26],"energy":[28],"consumption":[29],"appliances":[31,82],"from":[32],"a":[33,56,62,106,117],"single":[34],"point":[35],"source":[36],"such":[37],"as":[38],"smart":[39],"meters":[40],"-":[41],"Non-Intrusive":[42],"Load":[43],"Monitoring":[44],"(NILM).":[45],"However,":[46],"most":[47],"existing":[50],"DNNs":[51],"models":[52],"NILM":[54],"use":[55],"single-task":[57,141],"learning":[58,108],"approach":[59],"in":[60],"which":[61],"neural":[63],"network":[64],"is":[65,73,116],"trained":[66],"exclusively":[67],"each":[69],"appliance.":[70],"This":[71],"strategy":[72,109],"computationally":[74],"expensive":[75],"ignores":[77],"fact":[79],"that":[80],"multiple":[81],"can":[83],"be":[84],"active":[85],"simultaneously":[86],"dependencies":[88],"between":[89],"them.":[90],"In":[91],"this":[92],"work,":[93],"we":[94],"propose":[95],"UNet-NILM":[96,115],"multi-task":[98],"appliances'":[99],"state":[100],"detection":[101],"power":[103],"estimation,":[104],"applying":[105],"multi-label":[107],"multi-target":[111],"quantile":[112],"regression.":[113],"The":[114],"one-dimensional":[118],"CNN":[119],"based":[120],"on":[121,132],"U-Net":[123],"architecture":[124],"initially":[125],"proposed":[126],"image":[128],"segmentation.":[129],"Empirical":[130],"evaluation":[131],"UK-DALE":[134],"dataset":[135],"suggests":[136],"promising":[137],"performance":[138],"against":[139],"traditional":[140],"learning.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2020-12-07T00:00:00"}
