{"id":"https://openalex.org/W3010192349","doi":"https://doi.org/10.3390/s20051399","title":"Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework","display_name":"Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework","publication_year":2020,"publication_date":"2020-03-04","ids":{"openalex":"https://openalex.org/W3010192349","doi":"https://doi.org/10.3390/s20051399","mag":"3010192349","pmid":"https://pubmed.ncbi.nlm.nih.gov/32143371","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/7085604"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20051399","pdf_url":"https://www.mdpi.com/1424-8220/20/5/1399/pdf?version=1583325270","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/5/1399/pdf?version=1583325270","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101615846","display_name":"Zulfiqar Ahmad Khan","orcid":"https://orcid.org/0000-0003-3797-9649"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"funder","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Zulfiqar Khan","raw_affiliation_strings":["Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul 143-747, Korea"],"affiliations":[{"raw_affiliation_string":"Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul 143-747, Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090689566","display_name":"Tanveer Hussain","orcid":"https://orcid.org/0000-0003-4861-8347"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"funder","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tanveer Hussain","raw_affiliation_strings":["Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul 143-747, Korea"],"affiliations":[{"raw_affiliation_string":"Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul 143-747, Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075042717","display_name":"Amin Ullah","orcid":"https://orcid.org/0000-0001-7538-2689"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"funder","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Amin Ullah","raw_affiliation_strings":["Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul 143-747, Korea"],"affiliations":[{"raw_affiliation_string":"Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul 143-747, Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073263477","display_name":"Seungmin Rho","orcid":"https://orcid.org/0000-0003-1936-6785"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"funder","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungmin Rho","raw_affiliation_strings":["Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul 143-747, Korea"],"affiliations":[{"raw_affiliation_string":"Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul 143-747, Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690117","display_name":"Mi Young Lee","orcid":"https://orcid.org/0000-0002-8139-7091"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"funder","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Miyoung Lee","raw_affiliation_strings":["Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul 143-747, Korea"],"affiliations":[{"raw_affiliation_string":"Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul 143-747, Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072407810","display_name":"Sung Wook Baik","orcid":"https://orcid.org/0000-0002-6678-7788"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"funder","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sung Baik","raw_affiliation_strings":["Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul 143-747, Korea"],"affiliations":[{"raw_affiliation_string":"Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul 143-747, Korea","institution_ids":["https://openalex.org/I28777354"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072407810"],"corresponding_institution_ids":["https://openalex.org/I28777354"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":9.934,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":163,"citation_normalized_percentile":{"value":0.999986,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"20","issue":"5","first_page":"1399","last_page":"1399"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9999,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9999,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9939,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9824,"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"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.6401182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4818067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36972392},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.35753578},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.32915142},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30846483},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1580235}],"mesh":[],"locations_count":5,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20051399","pdf_url":"https://www.mdpi.com/1424-8220/20/5/1399/pdf?version=1583325270","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/49780c70692043e9bcc65e15a0f824d9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://europepmc.org/articles/pmc7085604","pdf_url":"https://europepmc.org/articles/pmc7085604?pdf=render","source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":["European Bioinformatics Institute"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085604","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32143371","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20051399","pdf_url":"https://www.mdpi.com/1424-8220/20/5/1399/pdf?version=1583325270","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.81,"id":"https://metadata.un.org/sdg/7"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":38,"referenced_works":["https://openalex.org/W1600744878","https://openalex.org/W1991277158","https://openalex.org/W1998230236","https://openalex.org/W2011815965","https://openalex.org/W2034353796","https://openalex.org/W2064675550","https://openalex.org/W2075294480","https://openalex.org/W2081733273","https://openalex.org/W2283229106","https://openalex.org/W2329258917","https://openalex.org/W2514588627","https://openalex.org/W2548560601","https://openalex.org/W2562985521","https://openalex.org/W2592453717","https://openalex.org/W2597866042","https://openalex.org/W2604099671","https://openalex.org/W2607234391","https://openalex.org/W2608474161","https://openalex.org/W2754252319","https://openalex.org/W2763500568","https://openalex.org/W2769581371","https://openalex.org/W2775321819","https://openalex.org/W2788239866","https://openalex.org/W2792817593","https://openalex.org/W2793141496","https://openalex.org/W2806806521","https://openalex.org/W2915736901","https://openalex.org/W2948490758","https://openalex.org/W2949888546","https://openalex.org/W2963153124","https://openalex.org/W2963670497","https://openalex.org/W2965525929","https://openalex.org/W2970203949","https://openalex.org/W2979947165","https://openalex.org/W2997700007","https://openalex.org/W2997861936","https://openalex.org/W3004492566","https://openalex.org/W3104996215"],"related_works":["https://openalex.org/W4386420510","https://openalex.org/W4385496701","https://openalex.org/W4200111712","https://openalex.org/W3134839809","https://openalex.org/W3023722095","https://openalex.org/W2559980898","https://openalex.org/W2370258473","https://openalex.org/W2361441833","https://openalex.org/W2358673967","https://openalex.org/W2147990030"],"abstract_inverted_index":{"Due":[0],"to":[1,36,106,117,154,184,187,200,203,254,287],"industrialization":[2],"and":[3,49,95,134,246,274],"the":[4,20,39,108,141,145,152,156,160,171,177,185,204,220,229,260,275],"rising":[5],"demand":[6],"for":[7,66,89,112,208,232],"energy,":[8],"global":[9],"energy":[10,24,41,68,91,113,120,209,288],"consumption":[11],"has":[12],"been":[13],"rapidly":[14],"increasing.":[15],"Recent":[16],"studies":[17],"show":[18,218],"that":[19,62,219,278],"biggest":[21],"portion":[22],"of":[23,38,101,147,162],"is":[25,42,105,283],"consumed":[26,43],"in":[27,31,93,115,122],"residential":[28,47,94,262],"buildings,":[29],"i.e.,":[30],"European":[32],"Union":[33],"countries":[34],"up":[35],"40%":[37],"total":[40],"by":[44,196],"households.":[45],"Most":[46],"buildings":[48],"industrial":[50],"zones":[51],"are":[52,63,151,181,194],"equipped":[53],"with":[54,81,140,166],"smart":[55,109],"sensors":[56],"such":[57],"as":[58],"metering":[59],"electric":[60],"sensors,":[61],"inadequately":[64],"utilized":[65],"better":[67],"management.":[69],"In":[70],"this":[71,102],"paper,":[72],"we":[73,150,266],"develop":[74],"a":[75,163,284],"hybrid":[76,138,222,281],"convolutional":[77],"neural":[78],"network":[79],"(CNN)":[80],"an":[82,136],"long":[83],"short-term":[84],"memory":[85],"autoencoder":[86],"(LSTM-AE)":[87],"model":[88,173,223,282],"future":[90],"prediction":[92],"commercial":[96,271],"buildings.":[97,123],"The":[98,191,211],"central":[99],"focus":[100],"research":[103,127],"work":[104],"utilize":[107],"meters'":[110],"data":[111,273],"forecasting":[114,132,257],"order":[116],"enable":[118],"appropriate":[119],"management":[121],"We":[124],"performed":[125],"extensive":[126],"using":[128,214],"several":[129],"deep":[130],"learning-based":[131],"models":[133,158],"proposed":[135,221,280],"optimal":[137],"CNN":[139,172],"LSTM-AE":[142],"model.":[143],"To":[144],"best":[146],"our":[148,279],"knowledge,":[149],"first":[153],"incorporate":[155],"aforementioned":[157],"under":[159],"umbrella":[161],"unified":[164],"framework":[165],"some":[167],"utility":[168],"preprocessing.":[169],"Initially,":[170],"extracts":[174],"features":[175],"from":[176],"input":[178],"data,":[179],"which":[180],"then":[182],"fed":[183],"LSTM-encoder":[186],"generate":[188],"encoded":[189,192],"sequences.":[190],"sequences":[193],"decoded":[195],"another":[197],"following":[198],"LSTM-decoder":[199],"advance":[201],"it":[202,227],"final":[205],"dense":[206],"layer":[207],"prediction.":[210],"experimental":[212],"results":[213,276],"different":[215],"evaluation":[216],"metrics":[217],"works":[224],"well.":[225],"Also,":[226],"records":[228],"smallest":[230],"value":[231],"mean":[233,237,242,247],"square":[234,243],"error":[235,239,244,250],"(MSE),":[236],"absolute":[238,248],"(MAE),":[240],"root":[241],"(RMSE)":[245],"percentage":[249],"(MAPE)":[251],"when":[252],"compared":[253],"other":[255],"state-of-the-art":[256],"methods":[258],"over":[259],"UCI":[261],"building":[263,272],"dataset.":[264],"Furthermore,":[265],"conducted":[267],"experiments":[268],"on":[269],"Korean":[270],"indicate":[277],"worthy":[285],"contribution":[286],"forecasting.":[289]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3010192349","counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":41},{"year":2022,"cited_by_count":40},{"year":2021,"cited_by_count":32},{"year":2020,"cited_by_count":12}],"updated_date":"2025-02-24T17:26:51.281106","created_date":"2020-03-13"}