{"id":"https://openalex.org/W3174424287","doi":"https://doi.org/10.1109/tsg.2021.3066547","title":"Time\u2013Frequency Mask Estimation Based on Deep Neural Network for Flexible Load Disaggregation in Buildings","display_name":"Time\u2013Frequency Mask Estimation Based on Deep Neural Network for Flexible Load Disaggregation in Buildings","publication_year":2021,"publication_date":"2021-03-17","ids":{"openalex":"https://openalex.org/W3174424287","doi":"https://doi.org/10.1109/tsg.2021.3066547","mag":"3174424287"},"language":"en","primary_location":{"id":"doi:10.1109/tsg.2021.3066547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2021.3066547","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Smart Grid","raw_type":"journal-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/A5005556223","display_name":"Junho Song","orcid":"https://orcid.org/0000-0002-4533-9820"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Junho Song","raw_affiliation_strings":["School of Mechatronics, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Mechatronics, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101614706","display_name":"Yonggu Lee","orcid":"https://orcid.org/0000-0001-9909-3590"},"institutions":[{"id":"https://openalex.org/I155671955","display_name":"Korea Atomic Energy Research Institute","ror":"https://ror.org/01xb4fs50","country_code":"KR","type":"facility","lineage":["https://openalex.org/I155671955","https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yonggu Lee","raw_affiliation_strings":["Security R&D Team, Korea Atomic Energy Research Institute, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Security R&D Team, Korea Atomic Energy Research Institute, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I155671955"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006486439","display_name":"Euiseok Hwang","orcid":"https://orcid.org/0000-0002-1718-7030"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Euiseok Hwang","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I39534123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005556223"],"corresponding_institution_ids":["https://openalex.org/I39534123"],"apc_list":null,"apc_paid":null,"fwci":2.9346,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.91450592,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"12","issue":"4","first_page":"3242","last_page":"3251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9995999932289124,"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":0.9995999932289124,"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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9976999759674072,"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/T12146","display_name":"Power Line Communications and Noise","score":0.9890999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hvac","display_name":"HVAC","score":0.8104239702224731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.554869532585144},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5437726378440857},{"id":"https://openalex.org/keywords/load-management","display_name":"Load management","score":0.49332109093666077},{"id":"https://openalex.org/keywords/load-profile","display_name":"Load profile","score":0.4897890090942383},{"id":"https://openalex.org/keywords/demand-response","display_name":"Demand response","score":0.42227593064308167},{"id":"https://openalex.org/keywords/peak-load","display_name":"Peak load","score":0.4185769259929657},{"id":"https://openalex.org/keywords/electrical-load","display_name":"Electrical load","score":0.41263440251350403},{"id":"https://openalex.org/keywords/air-conditioning","display_name":"Air conditioning","score":0.3560831546783447},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.303911954164505},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2925807237625122},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.20922482013702393},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.19938531517982483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15212643146514893},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13263148069381714},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.09322497248649597}],"concepts":[{"id":"https://openalex.org/C122346748","wikidata":"https://www.wikidata.org/wiki/Q1798773","display_name":"HVAC","level":3,"score":0.8104239702224731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.554869532585144},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5437726378440857},{"id":"https://openalex.org/C2779370713","wikidata":"https://www.wikidata.org/wiki/Q357554","display_name":"Load management","level":2,"score":0.49332109093666077},{"id":"https://openalex.org/C2777908891","wikidata":"https://www.wikidata.org/wiki/Q1806775","display_name":"Load profile","level":3,"score":0.4897890090942383},{"id":"https://openalex.org/C2779438525","wikidata":"https://www.wikidata.org/wiki/Q5255048","display_name":"Demand response","level":3,"score":0.42227593064308167},{"id":"https://openalex.org/C2986689482","wikidata":"https://www.wikidata.org/wiki/Q1806775","display_name":"Peak load","level":2,"score":0.4185769259929657},{"id":"https://openalex.org/C77715397","wikidata":"https://www.wikidata.org/wiki/Q931447","display_name":"Electrical load","level":3,"score":0.41263440251350403},{"id":"https://openalex.org/C103742991","wikidata":"https://www.wikidata.org/wiki/Q173725","display_name":"Air conditioning","level":2,"score":0.3560831546783447},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.303911954164505},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2925807237625122},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.20922482013702393},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.19938531517982483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15212643146514893},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13263148069381714},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.09322497248649597}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsg.2021.3066547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2021.3066547","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Smart Grid","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G3499550086","display_name":null,"funder_award_id":"2017-0-00413","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1987906574","https://openalex.org/W1994042232","https://openalex.org/W2025854375","https://openalex.org/W2035630116","https://openalex.org/W2082734177","https://openalex.org/W2086139506","https://openalex.org/W2116828738","https://openalex.org/W2123910460","https://openalex.org/W2151729265","https://openalex.org/W2160215673","https://openalex.org/W2167985623","https://openalex.org/W2550397165","https://openalex.org/W2581463316","https://openalex.org/W2591811586","https://openalex.org/W2605098336","https://openalex.org/W2697608749","https://openalex.org/W2756289778","https://openalex.org/W2804382237","https://openalex.org/W2810475755","https://openalex.org/W2895188252","https://openalex.org/W2904841534","https://openalex.org/W2908855336","https://openalex.org/W2914730628","https://openalex.org/W2945815269","https://openalex.org/W2979537861","https://openalex.org/W2990443604","https://openalex.org/W3098700993","https://openalex.org/W3139695047","https://openalex.org/W6667418930","https://openalex.org/W6684888087"],"related_works":["https://openalex.org/W2031774964","https://openalex.org/W3163979978","https://openalex.org/W144559911","https://openalex.org/W2144683657","https://openalex.org/W39487273","https://openalex.org/W3137290685","https://openalex.org/W2349173022","https://openalex.org/W2054865289","https://openalex.org/W2152826610","https://openalex.org/W3016666545"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,84,98,133],"novel":[4],"mask-based":[5],"load":[6,14,57,76,121,141,151,187],"disaggregation":[7,62,122,142,178],"scheme":[8,174],"is":[9,49,92,95,118,136],"presented":[10],"to":[11,102,119,138],"extract":[12,104],"flexible":[13,45,106,130,150,186],"profiles":[15,70],"in":[16,47,97,152,180],"buildings.":[17,79],"Flexible":[18],"loads":[19,32,168],"are":[20,33,71],"those":[21],"that":[22,170],"can":[23],"be":[24,65],"adjusted":[25],"as":[26],"needed":[27],"and":[28,36,39,165],"examples":[29],"of":[30,60,77,108,113,128,149,184],"such":[31],"heating,":[34],"ventilation,":[35],"air-conditioning":[37],"(HVAC),":[38],"lighting":[40],"loads.":[41,109,131],"Knowledge":[42],"about":[43],"the":[44,56,74,78,105,111,116,124,129,140,146,153,171,176,182,185,189],"sub-load":[46],"buildings":[48],"crucial":[50],"for":[51,157,163],"demand-side":[52],"management":[53],"programs.":[54],"However,":[55],"decomposition":[58],"performance":[59],"conventional":[61,177],"methods":[63],"may":[64],"limited":[66],"mainly":[67],"because":[68],"similar":[69],"superimposed":[72],"on":[73],"entire":[75],"Motivated":[80],"by":[81,144],"these":[82],"problems,":[83],"deep":[85],"neural":[86],"network":[87],"(DNN)-based":[88],"mask,":[89],"termed":[90],"DNNM,":[91],"proposed.":[93],"It":[94],"customized":[96],"time-frequency":[99],"(T-F)":[100],"domain":[101],"effectively":[103],"portion":[107],"To":[110],"best":[112],"our":[114],"knowledge,":[115],"DNNM":[117,173],"achieve":[120],"using":[123],"distinctive":[125],"T-F":[126,159],"properties":[127],"Particularly,":[132],"new":[134],"mask":[135],"designed":[137],"increase":[139],"accuracy":[143],"determining":[145],"appropriate":[147],"ratio":[148],"mixed":[154],"loads,":[155],"adaptively":[156],"different":[158],"elements.":[160],"Numerical":[161],"evaluations":[162],"residential":[164],"commercial":[166],"building":[167],"show":[169],"proposed":[172],"outperforms":[175],"models":[179],"discriminating":[181],"contributions":[183],"from":[188],"total":[190],"power":[191],"consumption.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
