{"id":"https://openalex.org/W4205163407","doi":"https://doi.org/10.1109/access.2021.3133702","title":"A Short-Term Household Load Forecasting Framework Using LSTM and Data Preparation","display_name":"A Short-Term Household Load Forecasting Framework Using LSTM and Data Preparation","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W4205163407","doi":"https://doi.org/10.1109/access.2021.3133702"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3133702","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3133702","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09641857.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09641857.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Derni Ageng","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Derni Ageng","raw_affiliation_strings":["Dept. of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, 10605 TW"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, 10605 TW","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chin-Ya Huang","orcid":"https://orcid.org/0000-0002-7057-8495"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chin-Ya Huang","raw_affiliation_strings":["Dept. of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, 10605 TW. (e-mail: chinya@gapps.ntust.edu.tw)"],"raw_orcid":"https://orcid.org/0000-0002-7057-8495","affiliations":[{"raw_affiliation_string":"Dept. of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, 10605 TW. (e-mail: chinya@gapps.ntust.edu.tw)","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ray-Guang Cheng","orcid":"https://orcid.org/0000-0002-6511-3546"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ray-Guang Cheng","raw_affiliation_strings":["Dept. of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, 10605 TW"],"raw_orcid":"https://orcid.org/0000-0002-6511-3546","affiliations":[{"raw_affiliation_string":"Dept. of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, 10605 TW","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.6388,"has_fulltext":true,"cited_by_count":54,"citation_normalized_percentile":{"value":0.9375467,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"9","issue":null,"first_page":"167911","last_page":"167919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.909500002861023,"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":0.909500002861023,"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/T10603","display_name":"Smart Grid Energy Management","score":0.04190000146627426,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.008700000122189522,"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":[{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.572700023651123},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.47189998626708984},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45820000767707825},{"id":"https://openalex.org/keywords/load-management","display_name":"Load management","score":0.4178999960422516},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.390500009059906},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3702999949455261},{"id":"https://openalex.org/keywords/load-profile","display_name":"Load profile","score":0.3587000072002411},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.352400004863739}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8241999745368958},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.572700023651123},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.48809999227523804},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.47189998626708984},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46459999680519104},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45820000767707825},{"id":"https://openalex.org/C2779370713","wikidata":"https://www.wikidata.org/wiki/Q357554","display_name":"Load management","level":2,"score":0.4178999960422516},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.390500009059906},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3702999949455261},{"id":"https://openalex.org/C2777908891","wikidata":"https://www.wikidata.org/wiki/Q1806775","display_name":"Load profile","level":3,"score":0.3587000072002411},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35199999809265137},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3125999867916107},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.30649998784065247},{"id":"https://openalex.org/C77715397","wikidata":"https://www.wikidata.org/wiki/Q931447","display_name":"Electrical load","level":3,"score":0.3001999855041504},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C106527866","wikidata":"https://www.wikidata.org/wiki/Q1489497","display_name":"Building management system","level":3,"score":0.28459998965263367},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C138959212","wikidata":"https://www.wikidata.org/wiki/Q1806783","display_name":"Load balancing (electrical power)","level":3,"score":0.26739999651908875},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.26249998807907104},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2621000111103058},{"id":"https://openalex.org/C2986689482","wikidata":"https://www.wikidata.org/wiki/Q1806775","display_name":"Peak load","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3133702","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3133702","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09641857.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1287804a4d1d497093112a0fb1d613e2","is_oa":true,"landing_page_url":"https://doaj.org/article/1287804a4d1d497093112a0fb1d613e2","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":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 167911-167919 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3133702","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3133702","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09641857.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7441813546","display_name":null,"funder_award_id":"110-2224-E-011-002","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205163407.pdf","grobid_xml":"https://content.openalex.org/works/W4205163407.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2038250306","https://openalex.org/W2105916576","https://openalex.org/W2109606373","https://openalex.org/W2754252319","https://openalex.org/W2782466627","https://openalex.org/W2786918196","https://openalex.org/W2791047295","https://openalex.org/W2808788196","https://openalex.org/W2997861936","https://openalex.org/W2999150322","https://openalex.org/W3010809631","https://openalex.org/W3017748668","https://openalex.org/W3027650734","https://openalex.org/W3040542219","https://openalex.org/W3090661556","https://openalex.org/W3117078723","https://openalex.org/W3118567578","https://openalex.org/W3126378898","https://openalex.org/W3129762955","https://openalex.org/W3133849585","https://openalex.org/W4229740899","https://openalex.org/W4244809174"],"related_works":[],"abstract_inverted_index":{"IoT":[0],"devices":[1],"are":[2],"deployed":[3],"in":[4,66,156],"a":[5],"building":[6,25,70],"to":[7,32,137,160],"collect":[8],"instantly":[9],"electricity":[10],"load":[11,16,61,80,119,130,167],"usage":[12],"for":[13,127],"next":[14,59,128,165],"hour":[15,60,129,166],"consumption":[17,120],"forecasting":[18,62,81],"so":[19],"that":[20],"the":[21,24,33,50,56,69,103,116,140,143,149,162,170,173],"operation":[22,71],"of":[23,58,118,164],"can":[26,121],"be":[27,47,122],"properly":[28,123],"managed.":[29],"However,":[30],"due":[31],"hardware":[34],"or":[35,40],"system":[36],"error,":[37],"data":[38,92,105,151],"missing":[39],"overflow":[41],"might":[42,45],"occur.":[43],"Noise":[44],"also":[46],"added":[48],"into":[49],"collected":[51,104,152],"data.":[52],"Under":[53],"this":[54,74],"circumstance,":[55],"accuracy":[57],"would":[63],"degrade":[64],"which":[65],"turn":[67],"decreases":[68],"performance.":[72],"In":[73,101],"paper,":[75],"we":[76,133],"propose":[77],"an":[78,157],"hourly":[79],"framework":[82],"combining":[83],"Data":[84],"Preparation":[85],"and":[86,96,111,169],"LSTM,":[87],"namely":[88],"LSTM-DP,":[89,102],"by":[90,109,125],"considering":[91],"pre-processing,":[93],"feature":[94],"engineering":[95],"Long":[97],"Short-Term":[98],"Memory":[99],"(LSTM).":[100],"is":[106],"firstly":[107],"processed":[108],"interpolation":[110],"Savitzky":[112],"Golay":[113],"filter,":[114],"therefore":[115],"pattern":[117],"extracted":[124],"LSTM":[126,136],"forecasting.":[131],"Moreover,":[132],"adopt":[134],"two-stack":[135],"better":[138],"determine":[139],"relationships":[141],"among":[142],"time":[144],"series":[145],"information.":[146],"We":[147],"study":[148],"real":[150],"from":[153],"three":[154],"buildings":[155],"university":[158],"campus":[159],"investigate":[161],"performance":[163],"forecasting,":[168],"results":[171],"show":[172],"proposed":[174],"LSTM-DP":[175],"outperforms":[176],"others.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-01-26T00:00:00"}
