{"id":"https://openalex.org/W2993792358","doi":"https://doi.org/10.1109/icawst.2019.8923311","title":"Time Series Electricity Consumption Analysis using Non-negative Matrix Factorization","display_name":"Time Series Electricity Consumption Analysis using Non-negative Matrix Factorization","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2993792358","doi":"https://doi.org/10.1109/icawst.2019.8923311","mag":"2993792358"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2019.8923311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013799882","display_name":"Akira Kusaba","orcid":"https://orcid.org/0000-0002-1296-9180"},"institutions":[{"id":"https://openalex.org/I45391821","display_name":"Gakushuin University","ror":"https://ror.org/037s2db26","country_code":"JP","type":"education","lineage":["https://openalex.org/I45391821"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Kusaba","raw_affiliation_strings":["Computer Centre, Gakushuin University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Centre, Gakushuin University, Tokyo, Japan","institution_ids":["https://openalex.org/I45391821"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028025312","display_name":"Tetsuji Kuboyama","orcid":"https://orcid.org/0000-0003-1590-0231"},"institutions":[{"id":"https://openalex.org/I45391821","display_name":"Gakushuin University","ror":"https://ror.org/037s2db26","country_code":"JP","type":"education","lineage":["https://openalex.org/I45391821"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuji Kuboyama","raw_affiliation_strings":["Computer Centre, Gakushuin University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Centre, Gakushuin University, Tokyo, Japan","institution_ids":["https://openalex.org/I45391821"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072516978","display_name":"Takako Hashimoto","orcid":"https://orcid.org/0000-0002-7762-8336"},"institutions":[{"id":"https://openalex.org/I46943848","display_name":"Chiba University of Commerce","ror":"https://ror.org/02qn0vb48","country_code":"JP","type":"education","lineage":["https://openalex.org/I46943848"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takako Hashimoto","raw_affiliation_strings":["Commerce and Economics, Chiba University of Commerce, Chiba, Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Commerce and Economics, Chiba University of Commerce, Chiba, Tokyo","institution_ids":["https://openalex.org/I46943848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16215187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"83","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9531000256538391,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9531000256538391,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9434999823570251,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9394000172615051,"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/electricity","display_name":"Electricity","score":0.7929329872131348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6523337364196777},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.6446138620376587},{"id":"https://openalex.org/keywords/environmental-economics","display_name":"Environmental economics","score":0.5241380333900452},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5213702321052551},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.49840354919433594},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.4647008776664734},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.23456737399101257},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.15187370777130127},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14889347553253174},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.0931098461151123}],"concepts":[{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.7929329872131348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6523337364196777},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.6446138620376587},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.5241380333900452},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5213702321052551},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.49840354919433594},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.4647008776664734},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.23456737399101257},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.15187370777130127},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14889347553253174},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0931098461151123},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icawst.2019.8923311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G219961540","display_name":"Figure and ground approaches for scalable biclustering and their applications","funder_award_id":"19K12125","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8247823222","display_name":"Efficient Text Big Data Mining Technology via Structure Extraction","funder_award_id":"19H01133","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1567888612","https://openalex.org/W1902027874","https://openalex.org/W2015489723","https://openalex.org/W2017288758","https://openalex.org/W2028348615","https://openalex.org/W2055070149","https://openalex.org/W2066384055","https://openalex.org/W2079697937","https://openalex.org/W2091693228","https://openalex.org/W2104298926","https://openalex.org/W2108032102","https://openalex.org/W2135029798","https://openalex.org/W2140156026","https://openalex.org/W2167888943","https://openalex.org/W2789992941","https://openalex.org/W2902652978","https://openalex.org/W3141396188","https://openalex.org/W6680012447"],"related_works":["https://openalex.org/W4399648768","https://openalex.org/W4297433825","https://openalex.org/W4318261659","https://openalex.org/W2122823937","https://openalex.org/W2101428145","https://openalex.org/W3215340255","https://openalex.org/W2048687561","https://openalex.org/W2361441833","https://openalex.org/W3200447293","https://openalex.org/W3136869357"],"abstract_inverted_index":{"For":[0],"developing":[1],"a":[2,61,80],"sustainable":[3],"society,":[4],"energy":[5,40,160],"management":[6],"systems":[7],"are":[8,58],"utilized":[9],"in":[10,35],"many":[11],"organizations.":[12],"Chiba":[13],"University":[14],"of":[15,20,83,136],"Commerce":[16],"(CUC)":[17],"is":[18,53],"one":[19],"the":[21,32,38,90,121,128,134,147],"organizations":[22],"that":[23,86,133],"has":[24],"completely":[25],"switched":[26],"to":[27,43,69,72,78,100,119,145],"renewable":[28],"energy-sourced":[29],"electricity":[30,74,102,116,122,150],"for":[31,113],"first":[33],"time":[34],"Japan.":[36],"In":[37,67,104],"campus,":[39],"consumption":[41,117,123,151],"due":[42],"air":[44],"conditioning,":[45],"lightning":[46],"and":[47,93,153],"so":[48,85],"on":[49,60,159],"at":[50],"each":[51],"room":[52],"monitored.":[54],"These":[55],"monitoring":[56],"data":[57,62,84,91,124,129],"stored":[59],"server":[63],"via":[64],"smart":[65],"meters.":[66],"order":[68],"promote":[70],"awareness":[71,158],"reduce":[73],"consumption,":[75],"we":[76,87,97,107,131],"need":[77],"summarize":[79],"vast":[81],"amount":[82],"can":[88,98],"interpret":[89,146],"easily,":[92],"find":[94],"out":[95],"where":[96],"afford":[99],"save":[101],"consumption.":[103],"this":[105],"paper,":[106],"employ":[108],"non-negative":[109],"matrix":[110],"factorization":[111],"(NMF)":[112],"summarizing":[114],"time-series":[115],"patterns":[118],"analyze":[120],"over":[125],"time.":[126],"Through":[127],"analysis,":[130],"show":[132],"visualization":[135],"factor":[137],"matrices":[138],"by":[139],"dimensionality":[140],"reduction":[141],"enables":[142],"us":[143,156],"easily":[144],"low":[148],"level":[149],"data,":[152],"it":[154],"gives":[155],"some":[157],"saving.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}