{"id":"https://openalex.org/W3136739557","doi":"https://doi.org/10.23919/eusipco54536.2021.9615928","title":"Smooth nonnegative tensor factorization for multi-sites electrical load monitoring","display_name":"Smooth nonnegative tensor factorization for multi-sites electrical load monitoring","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3136739557","doi":"https://doi.org/10.23919/eusipco54536.2021.9615928","mag":"3136739557"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco54536.2021.9615928","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9615928","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2103.07308","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015357920","display_name":"Amaury Durand","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210154078","display_name":"Territoires, Villes, Environnement & Soci\u00e9t\u00e9","ror":"https://ror.org/04kwqat20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I117841876","https://openalex.org/I1294671590","https://openalex.org/I2279609970","https://openalex.org/I2802487185","https://openalex.org/I4210087131","https://openalex.org/I4210089394","https://openalex.org/I4210139971","https://openalex.org/I4210154078"]},{"id":"https://openalex.org/I187846814","display_name":"EDF Energy (United Kingdom)","ror":"https://ror.org/04bs0e027","country_code":"GB","type":"company","lineage":["https://openalex.org/I187846814"]}],"countries":["FR","GB"],"is_corresponding":true,"raw_author_name":"Amaury Durand","raw_affiliation_strings":["EDF R&D, TREE, E36, Lab Les Renardieres. Ecuelles, France","LTCI, Telecom Paris, Institut Polytechnique de Paris, Palaiseau, France","EDF R&#x0026","D, TREE, E36, Lab Les Renardieres. Ecuelles, France"],"affiliations":[{"raw_affiliation_string":"EDF R&D, TREE, E36, Lab Les Renardieres. Ecuelles, France","institution_ids":["https://openalex.org/I4210154078"]},{"raw_affiliation_string":"LTCI, Telecom Paris, Institut Polytechnique de Paris, Palaiseau, France","institution_ids":["https://openalex.org/I4210165912","https://openalex.org/I12356871"]},{"raw_affiliation_string":"EDF R&#x0026","institution_ids":["https://openalex.org/I187846814"]},{"raw_affiliation_string":"D, TREE, E36, Lab Les Renardieres. Ecuelles, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073675112","display_name":"Fran\u00e7ois Roueff","orcid":"https://orcid.org/0000-0003-2372-0724"},"institutions":[{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francois Roueff","raw_affiliation_strings":["LTCI, Telecom Paris, Institut Polytechnique de Paris, Palaiseau, France"],"affiliations":[{"raw_affiliation_string":"LTCI, Telecom Paris, Institut Polytechnique de Paris, Palaiseau, France","institution_ids":["https://openalex.org/I4210165912","https://openalex.org/I12356871"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016805529","display_name":"Jean-Marc Jicquel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154078","display_name":"Territoires, Villes, Environnement & Soci\u00e9t\u00e9","ror":"https://ror.org/04kwqat20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I117841876","https://openalex.org/I1294671590","https://openalex.org/I2279609970","https://openalex.org/I2802487185","https://openalex.org/I4210087131","https://openalex.org/I4210089394","https://openalex.org/I4210139971","https://openalex.org/I4210154078"]},{"id":"https://openalex.org/I187846814","display_name":"EDF Energy (United Kingdom)","ror":"https://ror.org/04bs0e027","country_code":"GB","type":"company","lineage":["https://openalex.org/I187846814"]}],"countries":["FR","GB"],"is_corresponding":false,"raw_author_name":"Jean-Marc Jicquel","raw_affiliation_strings":["EDF R&D, TREE, E36, Lab Les Renardieres. Ecuelles, France","D, TREE, E36, Lab Les Renardieres. Ecuelles, France","EDF R&#x0026"],"affiliations":[{"raw_affiliation_string":"EDF R&D, TREE, E36, Lab Les Renardieres. Ecuelles, France","institution_ids":["https://openalex.org/I4210154078"]},{"raw_affiliation_string":"D, TREE, E36, Lab Les Renardieres. Ecuelles, France","institution_ids":[]},{"raw_affiliation_string":"EDF R&#x0026","institution_ids":["https://openalex.org/I187846814"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086505464","display_name":"Nicolas Paul","orcid":"https://orcid.org/0000-0003-2228-3980"},"institutions":[{"id":"https://openalex.org/I187846814","display_name":"EDF Energy (United Kingdom)","ror":"https://ror.org/04bs0e027","country_code":"GB","type":"company","lineage":["https://openalex.org/I187846814"]},{"id":"https://openalex.org/I4210096782","display_name":"Laboratoire Pluridisciplinaire de Recherche en Ing\u00e9nierie des Syst\u00e8mes, M\u00e9canique et Energ\u00e9tique","ror":"https://ror.org/00sbth994","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12449238","https://openalex.org/I4210096782","https://openalex.org/I4210143826"]}],"countries":["FR","GB"],"is_corresponding":false,"raw_author_name":"Nicolas Paul","raw_affiliation_strings":["EDF R&D, PRISME, Chatou, France","EDF R&#x0026","D, PRISME, Chatou, France"],"affiliations":[{"raw_affiliation_string":"EDF R&D, PRISME, Chatou, France","institution_ids":["https://openalex.org/I4210096782"]},{"raw_affiliation_string":"EDF R&#x0026","institution_ids":["https://openalex.org/I187846814"]},{"raw_affiliation_string":"D, PRISME, Chatou, France","institution_ids":["https://openalex.org/I4210096782"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015357920"],"corresponding_institution_ids":["https://openalex.org/I12356871","https://openalex.org/I187846814","https://openalex.org/I4210154078","https://openalex.org/I4210165912"],"apc_list":null,"apc_paid":null,"fwci":0.3158,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.41538462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1666","last_page":"1670"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9858999848365784,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9406999945640564,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/decomposition","display_name":"Decomposition","score":0.6858878135681152},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6770448088645935},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6417401432991028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6165665984153748},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.6040306091308594},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4893762469291687},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.45985111594200134},{"id":"https://openalex.org/keywords/characterization","display_name":"Characterization (materials science)","score":0.4442320466041565},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.428079754114151},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33364230394363403},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2952275574207306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2244836986064911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2144230306148529},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11999207735061646},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08770886063575745},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07258099317550659}],"concepts":[{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6858878135681152},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6770448088645935},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6417401432991028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6165665984153748},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.6040306091308594},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4893762469291687},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.45985111594200134},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.4442320466041565},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.428079754114151},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33364230394363403},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2952275574207306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2244836986064911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2144230306148529},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11999207735061646},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08770886063575745},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07258099317550659},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","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},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.23919/eusipco54536.2021.9615928","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9615928","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2103.07308","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.07308","pdf_url":"https://arxiv.org/pdf/2103.07308","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2103.07308","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2103.07308","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2103.07308","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.07308","pdf_url":"https://arxiv.org/pdf/2103.07308","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":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":15,"referenced_works":["https://openalex.org/W774383621","https://openalex.org/W1246381107","https://openalex.org/W1990208091","https://openalex.org/W1994219736","https://openalex.org/W2024165284","https://openalex.org/W2049241760","https://openalex.org/W2066384055","https://openalex.org/W2072974424","https://openalex.org/W2135307683","https://openalex.org/W2145319139","https://openalex.org/W2761146210","https://openalex.org/W2762366637","https://openalex.org/W2972586903","https://openalex.org/W3034650319","https://openalex.org/W3104577407"],"related_works":["https://openalex.org/W2794559785","https://openalex.org/W1754499339","https://openalex.org/W2013873776","https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2950281908","https://openalex.org/W2963117165","https://openalex.org/W2084977674","https://openalex.org/W2583828359","https://openalex.org/W2246563867"],"abstract_inverted_index":{"The":[0,87],"analysis":[1],"of":[2,40,58,101],"load":[3,26,60],"curves":[4,61],"collected":[5],"from":[6,19],"smart":[7],"meters":[8],"is":[9,66],"a":[10,33,37,98],"key":[11],"step":[12],"for":[13,47,68],"many":[14],"energy":[15],"management":[16],"tasks":[17],"ranging":[18],"consumption":[20,73],"forecasting":[21],"to":[22],"customers":[23],"characterization":[24],"and":[25,44,75,93],"monitoring.":[27],"In":[28],"this":[29,64],"contribution,":[30],"we":[31],"propose":[32],"model":[34],"based":[35,105],"on":[36,54,91,106],"functional":[38],"formulation":[39,65],"nonnegative":[41],"tensor":[42],"factorization":[43],"derive":[45],"updates":[46],"the":[48,55,84,102,107],"corresponding":[49],"optimization":[50],"problem.":[51],"We":[52],"show":[53],"concrete":[56],"example":[57],"multi-sites":[59],"disaggregation":[62],"how":[63],"helpful":[67],"1)":[69],"exhibiting":[70,97],"smooth":[71],"intraday":[72],"patterns":[74],"2)":[76],"taking":[77],"into":[78],"account":[79],"external":[80],"variables":[81],"such":[82],"as":[83],"outside":[85],"temperature.":[86],"benefits":[88],"are":[89],"demonstrated":[90],"simulated":[92],"real":[94],"data":[95],"by":[96],"meaningful":[99],"clustering":[100],"observed":[103],"sites":[104],"obtained":[108],"decomposition.":[109]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-07-25T00:00:00"}