{"id":"https://openalex.org/W3043473594","doi":"https://doi.org/10.1109/jsyst.2020.3007184","title":"Multiscale LSTM-Based Deep Learning for Very-Short-Term Photovoltaic Power Generation Forecasting in Smart City Energy Management","display_name":"Multiscale LSTM-Based Deep Learning for Very-Short-Term Photovoltaic Power Generation Forecasting in Smart City Energy Management","publication_year":2020,"publication_date":"2020-07-17","ids":{"openalex":"https://openalex.org/W3043473594","doi":"https://doi.org/10.1109/jsyst.2020.3007184","mag":"3043473594"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2020.3007184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2020.3007184","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"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 Systems Journal","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/A5100331520","display_name":"Dohyun Kim","orcid":"https://orcid.org/0000-0003-1669-6746"},"institutions":[{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dohyun Kim","raw_affiliation_strings":["Naver Corporation, Seongnam, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naver Corporation, Seongnam, South Korea","institution_ids":["https://openalex.org/I60922564"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052173276","display_name":"Dohyun Kwon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dohyun Kwon","raw_affiliation_strings":["Hyundai-Autoever, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hyundai-Autoever, Seoul, South Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069928094","display_name":"Laihyuk Park","orcid":"https://orcid.org/0000-0001-7848-8470"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Laihyuk Park","raw_affiliation_strings":["Department of Computer Science and Engineering, Seoul Nattional University of Science and Technology, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Seoul Nattional University of Science and Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049202871","display_name":"Joongheon Kim","orcid":"https://orcid.org/0000-0003-2126-768X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joongheon Kim","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041978875","display_name":"Sungrae Cho","orcid":"https://orcid.org/0000-0003-1879-688X"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungrae Cho","raw_affiliation_strings":["School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.9973,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.97012207,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"15","issue":"1","first_page":"346","last_page":"354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9997000098228455,"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":0.9926999807357788,"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/computer-science","display_name":"Computer science","score":0.7617895007133484},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6696629524230957},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6591982245445251},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6368294358253479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6046207547187805},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.5675614476203918},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5547929406166077},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.538427472114563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5181049704551697},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5134471654891968},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.5099221467971802},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45118293166160583},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4495944082736969},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4253949522972107},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14699622988700867},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10515925288200378}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7617895007133484},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6696629524230957},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6591982245445251},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6368294358253479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6046207547187805},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.5675614476203918},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5547929406166077},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.538427472114563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5181049704551697},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5134471654891968},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.5099221467971802},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45118293166160583},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4495944082736969},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4253949522972107},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14699622988700867},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10515925288200378},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsyst.2020.3007184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2020.3007184","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"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 Systems Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G388482607","display_name":null,"funder_award_id":"R19XO01-41","funder_id":"https://openalex.org/F4320326258","funder_display_name":"Korea Electric Power Corporation"}],"funders":[{"id":"https://openalex.org/F4320326258","display_name":"Korea Electric Power Corporation","ror":"https://ror.org/04fperw70"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"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":48,"referenced_works":["https://openalex.org/W1485237940","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1921523184","https://openalex.org/W1966391855","https://openalex.org/W1970088388","https://openalex.org/W1985239319","https://openalex.org/W1987302169","https://openalex.org/W2036263790","https://openalex.org/W2056859411","https://openalex.org/W2071586127","https://openalex.org/W2088786192","https://openalex.org/W2102202387","https://openalex.org/W2123237149","https://openalex.org/W2124938937","https://openalex.org/W2135178255","https://openalex.org/W2155893237","https://openalex.org/W2165698076","https://openalex.org/W2183936775","https://openalex.org/W2275327100","https://openalex.org/W2292443655","https://openalex.org/W2317466700","https://openalex.org/W2343702657","https://openalex.org/W2508380041","https://openalex.org/W2547448023","https://openalex.org/W2558583184","https://openalex.org/W2566591454","https://openalex.org/W2590910929","https://openalex.org/W2591649872","https://openalex.org/W2606480813","https://openalex.org/W2624310090","https://openalex.org/W2731217207","https://openalex.org/W2751698537","https://openalex.org/W2773038010","https://openalex.org/W2792326773","https://openalex.org/W2807966350","https://openalex.org/W2949062675","https://openalex.org/W2964121744","https://openalex.org/W2969690146","https://openalex.org/W2989784702","https://openalex.org/W6629024081","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6640185926","https://openalex.org/W6678292227","https://openalex.org/W6678448483","https://openalex.org/W6686358049","https://openalex.org/W6729146758"],"related_works":["https://openalex.org/W4385280324","https://openalex.org/W2912153778","https://openalex.org/W4387163678","https://openalex.org/W4288108708","https://openalex.org/W2973430807","https://openalex.org/W2984436043","https://openalex.org/W2912831041","https://openalex.org/W2890685186","https://openalex.org/W2904359912","https://openalex.org/W2796130100"],"abstract_inverted_index":{"Photovoltaic":[0],"power":[1],"generation":[2],"forecasting":[3,56,77,86,101],"(PVGF)":[4],"is":[5,67,98,104,123],"an":[6],"attractive":[7],"research":[8],"topic":[9],"for":[10,31,100,106],"efficient":[11,107],"energy":[12],"management":[13],"in":[14,37],"smart":[15],"city.":[16],"In":[17,90],"addition,":[18],"the":[19,47,54,62,76,84,120,126,133,140],"long":[20],"short-term":[21],"memory":[22],"recurrent":[23],"neural":[24],"network":[25],"(LSTM/RNN)":[26],"has":[27],"been":[28],"actively":[29],"utilized":[30],"predicting":[32],"various":[33],"time":[34],"series":[35],"tasks":[36],"recent":[38],"years":[39],"due":[40],"to":[41,45,118,138],"its":[42],"outstanding":[43],"ability":[44],"learn":[46],"feature":[48],"of":[49,79,142],"sequential":[50,63],"time-series":[51],"data.":[52],"Although":[53],"existing":[55],"models":[57],"were":[58],"obtained":[59],"from":[60,125],"learning":[61,96],"PVGF":[64,81,103,143],"data,":[65],"it":[66],"observed":[68],"that":[69,122],"irregular":[70,127],"factors":[71],"made":[72],"adverse":[73],"effects":[74],"on":[75,112],"results":[78,131],"very-short-term":[80,102],"tasks,":[82],"thus,":[83],"entire":[85],"performance":[87],"was":[88],"deteriorated.":[89],"this":[91],"regard,":[92],"multiscale":[93],"LSTM-based":[94],"deep":[95],"which":[97],"capable":[99],"proposed":[105,134],"management.":[108],"The":[109],"model":[110],"concatenates":[111],"two":[113],"different":[114],"scaled":[115],"LSTM":[116],"modules":[117],"overcome":[119],"deterioration":[121],"originated":[124],"factors.":[128],"Lastly,":[129],"experimental":[130],"present":[132],"framework":[135],"can":[136],"assist":[137],"forecast":[139],"tendency":[141],"amount":[144],"steadily.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
