{"id":"https://openalex.org/W2739479890","doi":"https://doi.org/10.24963/ijcai.2017/398","title":"Disambiguating Energy Disaggregation: A Collective Probabilistic Approach","display_name":"Disambiguating Energy Disaggregation: A Collective Probabilistic Approach","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2739479890","doi":"https://doi.org/10.24963/ijcai.2017/398","mag":"2739479890"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/398","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/398","pdf_url":"https://www.ijcai.org/proceedings/2017/0398.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0398.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046305810","display_name":"Sabina Tomkins","orcid":"https://orcid.org/0000-0002-2632-8173"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sabina Tomkins","raw_affiliation_strings":["University of California Santa Cruz","University of California, Santa Cruz"],"affiliations":[{"raw_affiliation_string":"University of California Santa Cruz","institution_ids":["https://openalex.org/I185103710"]},{"raw_affiliation_string":"University of California, Santa Cruz","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073443117","display_name":"Jay Pujara","orcid":"https://orcid.org/0000-0001-6921-1744"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jay Pujara","raw_affiliation_strings":["University of California, Santa Cruz"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Cruz","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086169451","display_name":"Lise Getoor","orcid":null},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lise Getoor","raw_affiliation_strings":["University of California, Santa Cruz"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Cruz","institution_ids":["https://openalex.org/I185103710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046305810"],"corresponding_institution_ids":["https://openalex.org/I185103710"],"apc_list":null,"apc_paid":null,"fwci":2.2839,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87507354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2857","last_page":"2863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9997000098228455,"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/T11954","display_name":"Energy Efficiency and Management","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8091335892677307},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.7192630767822266},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6761932373046875},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6302101016044617},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6037411093711853},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5165151953697205},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.4353097379207611},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4260694980621338},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.4147787094116211},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.386213481426239},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36061108112335205},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3532257676124573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28557875752449036},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10780841112136841},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0878351628780365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8091335892677307},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7192630767822266},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6761932373046875},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6302101016044617},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6037411093711853},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5165151953697205},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.4353097379207611},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4260694980621338},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.4147787094116211},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.386213481426239},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36061108112335205},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3532257676124573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28557875752449036},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10780841112136841},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0878351628780365},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/398","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/398","pdf_url":"https://www.ijcai.org/proceedings/2017/0398.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/398","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/398","pdf_url":"https://www.ijcai.org/proceedings/2017/0398.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2739479890.pdf","grobid_xml":"https://content.openalex.org/works/W2739479890.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W110691220","https://openalex.org/W168840469","https://openalex.org/W1138573735","https://openalex.org/W1479651931","https://openalex.org/W1835243625","https://openalex.org/W1973412126","https://openalex.org/W2019493846","https://openalex.org/W2039237458","https://openalex.org/W2046090958","https://openalex.org/W2055655470","https://openalex.org/W2095693218","https://openalex.org/W2123910460","https://openalex.org/W2132991226","https://openalex.org/W2149512138","https://openalex.org/W2164278908","https://openalex.org/W2252133813","https://openalex.org/W2255051834","https://openalex.org/W2344234701","https://openalex.org/W2546773804","https://openalex.org/W2548908563","https://openalex.org/W2576071902","https://openalex.org/W2921676705","https://openalex.org/W2949115596","https://openalex.org/W3099873379","https://openalex.org/W3139672502","https://openalex.org/W4210428686","https://openalex.org/W4245655784","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2163814182"],"abstract_inverted_index":{"Reducing":[0],"household":[1,43],"energy":[2,23,48,54,64,96,164],"usage":[3,152],"is":[4,140],"a":[5,52,61,90,102,119,184],"priority":[6],"for":[7],"improving":[8],"the":[9,14,19,26,35,69,95,169,180],"resiliency":[10],"and":[11,17,28,31,80,155],"stability":[12],"of":[13,22,38,71,98,171],"power":[15,36],"grid":[16],"decreasing":[18],"negative":[20],"impact":[21],"consumption":[24,37,70,97,165],"on":[25,83,174],"environment":[27],"public":[29,176],"health.Relevant":[30],"timely":[32],"feedback":[33],"about":[34],"specific":[39],"appliances":[40,100,161],"can":[41,158],"help":[42],"residents":[44],"to":[45,67,145,183],"reduce":[46],"their":[47],"demand.":[49],"Given":[50],"only":[51],"total":[53],"reading,":[55],"such":[56],"as":[57,189,191],"that":[58],"collected":[59],"from":[60],"residential":[62],"meter,":[63],"disaggregation":[65,75],"strives":[66],"discover":[68],"individual":[72,99],"appliances.":[73],"Existing":[74],"algorithms":[76],"are":[77],"computationally":[78],"inefficient":[79],"rely":[81],"heavily":[82],"high-resolution":[84],"ground":[85],"truth":[86],"data.":[87,137],"We":[88,126,167],"introduce":[89,118],"probabilistic":[91],"framework":[92,139,173],"which":[93,108,122],"infers":[94],"using":[101],"hinge-loss":[103],"Markov":[104],"random":[105],"field":[106],"(HL-MRF),":[107],"admits":[109],"highly":[110],"scalable":[111],"inference.":[112],"To":[113],"further":[114],"enhance":[115],"efficiency,":[116],"we":[117,157],"temporal":[120],"representation":[121],"leverages":[123],"state":[124],"duration.":[125],"also":[127],"explore":[128],"how":[129],"contextual":[130],"information":[131],"impacts":[132],"solution":[133],"quality":[134],"with":[135,153,162],"low-resolution":[136],"Our":[138],"flexible":[141],"in":[142],"its":[143],"ability":[144],"incorporate":[146],"additional":[147],"constraints;":[148],"by":[149,188],"constraining":[150],"appliance":[151],"context":[154],"duration":[156],"better":[159],"disambiguate":[160],"similar":[163],"profiles.":[166],"demonstrate":[168],"effectiveness":[170],"our":[172],"two":[175],"real-world":[177],"datasets,":[178],"reducing":[179],"error":[181],"relative":[182],"previous":[185],"state-of-the-art":[186],"method":[187],"much":[190],"50%.":[192]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
