{"id":"https://openalex.org/W2904943247","doi":"https://doi.org/10.1109/gcce.2018.8574484","title":"LSTM Based Short-term Electricity Consumption Forecast with Daily Load Profile Sequences","display_name":"LSTM Based Short-term Electricity Consumption Forecast with Daily Load Profile Sequences","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2904943247","doi":"https://doi.org/10.1109/gcce.2018.8574484","mag":"2904943247"},"language":"en","primary_location":{"id":"doi:10.1109/gcce.2018.8574484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2018.8574484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)","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/A5007268142","display_name":"Nakyoung Kim","orcid":"https://orcid.org/0000-0002-0002-8244"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Nakyoung Kim","raw_affiliation_strings":["School of Electrical Engineering Korea Advanced Institute of Sceince and Technology (KAIST), Deajeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering Korea Advanced Institute of Sceince and Technology (KAIST), Deajeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328559","display_name":"Minkyung Kim","orcid":"https://orcid.org/0000-0002-6394-8638"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minkyung Kim","raw_affiliation_strings":["School of Electrical Engineering Korea Advanced Institute of Sceince and Technology (KAIST), Deajeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering Korea Advanced Institute of Sceince and Technology (KAIST), Deajeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102847957","display_name":"Jun Kyun Choi","orcid":"https://orcid.org/0000-0002-0151-1297"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun Kyun Choi","raw_affiliation_strings":["School of Electrical Engineering Korea Advanced Institute of Sceince and Technology (KAIST), Deajeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering Korea Advanced Institute of Sceince and Technology (KAIST), Deajeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007268142"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":3.0901,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.92347398,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"136","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":1.0,"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":1.0,"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":0.9979000091552734,"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/T12451","display_name":"Smart Grid and Power Systems","score":0.9933000206947327,"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/hyperparameter","display_name":"Hyperparameter","score":0.7883763909339905},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.7342414259910583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.693373441696167},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6909683346748352},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6386783719062805},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.6152305006980896},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5887575149536133},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.4860456585884094},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.43232738971710205},{"id":"https://openalex.org/keywords/time-sequence","display_name":"Time sequence","score":0.4319073259830475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3981623649597168},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3584666848182678},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2092750072479248},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.153825044631958},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14963290095329285},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.1346455216407776},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06384831666946411}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7883763909339905},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.7342414259910583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.693373441696167},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6909683346748352},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6386783719062805},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.6152305006980896},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5887575149536133},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.4860456585884094},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.43232738971710205},{"id":"https://openalex.org/C3020136221","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time sequence","level":2,"score":0.4319073259830475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3981623649597168},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3584666848182678},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2092750072479248},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.153825044631958},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14963290095329285},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.1346455216407776},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06384831666946411},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce.2018.8574484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2018.8574484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)","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":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2048009800","https://openalex.org/W2078019988","https://openalex.org/W2220560459","https://openalex.org/W2333242453","https://openalex.org/W2743680082","https://openalex.org/W2798951182"],"related_works":["https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W2140186469","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W4318559728","https://openalex.org/W2775233965","https://openalex.org/W4360995913","https://openalex.org/W2986526043","https://openalex.org/W2937980026"],"abstract_inverted_index":{"For":[0,55],"energy-related":[1],"services":[2],"and":[3,66,97],"researches,":[4],"not":[5],"only":[6],"the":[7,12,16,67,72,78],"energy":[8],"load":[9],"data":[10],"in":[11],"past":[13,42],"but":[14],"also":[15],"future":[17],"are":[18],"essential.":[19],"In":[20],"this":[21],"paper,":[22],"a":[23,39,47,53,61,91],"short-term":[24],"electricity":[25,49],"consumption":[26,43,50],"prediction":[27,51,79],"method":[28,32,74],"is":[29,64],"proposed.":[30],"The":[31,84],"utilizes":[33],"Long-Short-Term-Memory":[34],"(LSTM)":[35],"network":[36],"which":[37],"takes":[38],"sequence":[40],"of":[41,81,94],"profiles":[44],"to":[45],"perform":[46],"month-ahead":[48],"as":[52],"sequence.":[54],"performance":[56],"analysis,":[57],"an":[58],"experiment":[59],"with":[60,77,90],"real":[62],"dataset":[63],"done,":[65],"experimental":[68],"result":[69],"validates":[70],"that":[71],"proposed":[73],"performs":[75],"well":[76],"accuracy":[80,86],"about":[82],"82.5%.":[83],"test":[85],"can":[87],"be":[88],"improved":[89],"longer":[92],"period":[93],"training":[95],"time":[96],"deliberate":[98],"hyperparameter":[99],"setting.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}