{"id":"https://openalex.org/W2997351215","doi":"https://doi.org/10.1109/ictc46691.2019.8939870","title":"Residual Seq2Seq model for Building energy management","display_name":"Residual Seq2Seq model for Building energy management","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2997351215","doi":"https://doi.org/10.1109/ictc46691.2019.8939870","mag":"2997351215"},"language":"en","primary_location":{"id":"doi:10.1109/ictc46691.2019.8939870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc46691.2019.8939870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-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/A5040563878","display_name":"Marie Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Marie Kim","raw_affiliation_strings":["KSB convergence research department, ETRI, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KSB convergence research department, ETRI, Daejeon, South Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090549604","display_name":"Nae-Soo Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Nae-soo Kim","raw_affiliation_strings":["KSB convergence research department, ETRI, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KSB convergence research department, ETRI, Daejeon, South Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075619909","display_name":"Yujin Song","orcid":"https://orcid.org/0000-0003-2310-8551"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"YuJin Song","raw_affiliation_strings":["KSB convergence research department, KIER, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KSB convergence research department, KIER, Daejeon, South Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110828543","display_name":"Cheol Sig Pyo","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Cheol Sig Pyo","raw_affiliation_strings":["KSB convergence research department, ETRI, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KSB convergence research department, ETRI, Daejeon, South Korea","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040563878"],"corresponding_institution_ids":["https://openalex.org/I142401562"],"apc_list":null,"apc_paid":null,"fwci":0.1585,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57127235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1126","last_page":"1128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9987000226974487,"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":0.9987000226974487,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9980000257492065,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.8331906199455261},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.8234851360321045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6779791116714478},{"id":"https://openalex.org/keywords/urbanization","display_name":"Urbanization","score":0.653160810470581},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5606052875518799},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.5572152733802795},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.5426490902900696},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5331434607505798},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4971027672290802},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4793682396411896},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.42676717042922974},{"id":"https://openalex.org/keywords/environmental-economics","display_name":"Environmental economics","score":0.35486263036727905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3377372622489929},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17520678043365479},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1162976324558258},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10494908690452576}],"concepts":[{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.8331906199455261},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.8234851360321045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6779791116714478},{"id":"https://openalex.org/C39853841","wikidata":"https://www.wikidata.org/wiki/Q161078","display_name":"Urbanization","level":2,"score":0.653160810470581},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5606052875518799},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.5572152733802795},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.5426490902900696},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5331434607505798},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4971027672290802},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4793682396411896},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.42676717042922974},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.35486263036727905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3377372622489929},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17520678043365479},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1162976324558258},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10494908690452576},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc46691.2019.8939870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc46691.2019.8939870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5699999928474426,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W648786980","https://openalex.org/W1506905033","https://openalex.org/W1997276660","https://openalex.org/W2133564696","https://openalex.org/W2143388661","https://openalex.org/W2194775991","https://openalex.org/W2264139484","https://openalex.org/W2511753245","https://openalex.org/W2605864735","https://openalex.org/W2901124522","https://openalex.org/W2964308564","https://openalex.org/W6621543089","https://openalex.org/W6630157645","https://openalex.org/W6679434410","https://openalex.org/W6754779071"],"related_works":["https://openalex.org/W2883256816","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W2152313554","https://openalex.org/W2064303750","https://openalex.org/W1509300825","https://openalex.org/W3195353062","https://openalex.org/W3207683219","https://openalex.org/W2606841152"],"abstract_inverted_index":{"According":[0],"to":[1,17],"the":[2,11,31,72,126],"UN":[3],"Department":[4],"of":[5,33,54,57,71,118,149],"Economic":[6],"and":[7,42,61,103,143],"Social":[8],"Affairs":[9],"(DESA),":[10],"global":[12,28,58],"urbanization":[13,29],"rate":[14],"is":[15,40,48,87,120,123],"expected":[16],"reach":[18],"68%":[19],"in":[20,25,38,46,52,108,152],"30":[21],"years":[22],"from":[23],"55%":[24],"2018.":[26],"As":[27],"progresses,":[30],"proportion":[32],"total":[34],"energy":[35,44,73,82,94,104,154],"consumption":[36,74,95,105,155],"consumed":[37],"buildings":[39,47],"increasing,":[41],"efficient":[43,55,80],"management":[45],"becoming":[49],"increasingly":[50],"important":[51],"terms":[53],"use":[56],"natural":[59],"resources":[60],"air":[62],"quality":[63],"management.":[64,83],"This":[65,137],"paper":[66,138],"presents":[67,139,160],"an":[68],"implementation":[69],"detail":[70],"prediction":[75],"deep":[76,140],"learning":[77,141],"model":[78,86,91,151],"for":[79,96],"building":[81,153],"The":[84],"developed":[85],"multilayer":[88],"LSTM":[89],"seq2seq":[90,150],"which":[92,122],"predicts":[93],"one":[97,116],"day":[98],"by":[99,125],"using":[100],"environmental":[101],"data":[102,106,119,129],"measured":[107],"a":[109,113],"real":[110],"testbed.":[111],"In":[112,157],"multi-zone":[114],"building,":[115],"zone":[117],"used,":[121],"characterized":[124],"fact":[127],"that":[128],"patterns":[130],"over":[131],"time":[132],"are":[133],"not":[134],"neatly":[135],"repeated.":[136],"depth":[142],"performance":[144,161],"changes":[145],"as":[146],"adding":[147],"layers":[148],"forecasting.":[156],"addition,":[158],"it":[159],"comparison":[162],"with":[163],"other":[164],"algorithms.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}