{"id":"https://openalex.org/W4318464897","doi":"https://doi.org/10.3390/s23031467","title":"An Insight of Deep Learning Based Demand Forecasting in Smart Grids","display_name":"An Insight of Deep Learning Based Demand Forecasting in Smart Grids","publication_year":2023,"publication_date":"2023-01-28","ids":{"openalex":"https://openalex.org/W4318464897","doi":"https://doi.org/10.3390/s23031467","pmid":"https://pubmed.ncbi.nlm.nih.gov/36772509"},"language":"en","primary_location":{"id":"doi:10.3390/s23031467","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031467","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1467/pdf?version=1674898893","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":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,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/3/1467/pdf?version=1674898893","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006384887","display_name":"Javier M. Aguiar-P\u00e9rez","orcid":"https://orcid.org/0000-0001-7054-0369"},"institutions":[{"id":"https://openalex.org/I108103353","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18","country_code":"ES","type":"education","lineage":["https://openalex.org/I108103353"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Javier Manuel Aguiar-P\u00e9rez","raw_affiliation_strings":["Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones e Ingenier\u00eda Telem\u00e1tica, Universidad de Valladolid, ETSI Telecomunicaci\u00f3n, Paseo de Bel\u00e9n 15, 47011 Valladolid, Spain"],"raw_orcid":"https://orcid.org/0000-0001-7054-0369","affiliations":[{"raw_affiliation_string":"Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones e Ingenier\u00eda Telem\u00e1tica, Universidad de Valladolid, ETSI Telecomunicaci\u00f3n, Paseo de Bel\u00e9n 15, 47011 Valladolid, Spain","institution_ids":["https://openalex.org/I108103353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009535291","display_name":"Mar\u00eda A. P\u00e9rez-Ju\u00e1rez","orcid":"https://orcid.org/0000-0003-2263-7355"},"institutions":[{"id":"https://openalex.org/I108103353","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18","country_code":"ES","type":"education","lineage":["https://openalex.org/I108103353"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mar\u00eda \u00c1ngeles P\u00e9rez-Ju\u00e1rez","raw_affiliation_strings":["Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones e Ingenier\u00eda Telem\u00e1tica, Universidad de Valladolid, ETSI Telecomunicaci\u00f3n, Paseo de Bel\u00e9n 15, 47011 Valladolid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones e Ingenier\u00eda Telem\u00e1tica, Universidad de Valladolid, ETSI Telecomunicaci\u00f3n, Paseo de Bel\u00e9n 15, 47011 Valladolid, Spain","institution_ids":["https://openalex.org/I108103353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006384887"],"corresponding_institution_ids":["https://openalex.org/I108103353"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":6.7869,"has_fulltext":true,"cited_by_count":81,"citation_normalized_percentile":{"value":0.98010279,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"23","issue":"3","first_page":"1467","last_page":"1467"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9973999857902527,"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/demand-forecasting","display_name":"Demand forecasting","score":0.8530783653259277},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.7429675459861755},{"id":"https://openalex.org/keywords/demand-patterns","display_name":"Demand patterns","score":0.639062762260437},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6172997355461121},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6099335551261902},{"id":"https://openalex.org/keywords/supply-and-demand","display_name":"Supply and demand","score":0.5504131317138672},{"id":"https://openalex.org/keywords/demand-response","display_name":"Demand response","score":0.5489559173583984},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5169007778167725},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46391716599464417},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.4294588267803192},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.4207490384578705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39858633279800415},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3921242654323578},{"id":"https://openalex.org/keywords/demand-management","display_name":"Demand management","score":0.3787260949611664},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3765982985496521},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2510499358177185},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.14525407552719116}],"concepts":[{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.8530783653259277},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.7429675459861755},{"id":"https://openalex.org/C32597650","wikidata":"https://www.wikidata.org/wiki/Q5255044","display_name":"Demand patterns","level":3,"score":0.639062762260437},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6172997355461121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6099335551261902},{"id":"https://openalex.org/C120330832","wikidata":"https://www.wikidata.org/wiki/Q166656","display_name":"Supply and demand","level":2,"score":0.5504131317138672},{"id":"https://openalex.org/C2779438525","wikidata":"https://www.wikidata.org/wiki/Q5255048","display_name":"Demand response","level":3,"score":0.5489559173583984},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5169007778167725},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46391716599464417},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.4294588267803192},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.4207490384578705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39858633279800415},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3921242654323578},{"id":"https://openalex.org/C179366874","wikidata":"https://www.wikidata.org/wiki/Q1185130","display_name":"Demand management","level":2,"score":0.3787260949611664},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3765982985496521},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2510499358177185},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.14525407552719116},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s23031467","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031467","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1467/pdf?version=1674898893","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":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,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36772509","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36772509","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_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":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9921606","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9921606","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9921606/pdf/sensors-23-01467.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:uvadoc.uva.es:10324/64799","is_oa":true,"landing_page_url":"https://uvadoc.uva.es/handle/10324/64799","pdf_url":"https://uvadoc.uva.es/bitstream/10324/64799/1/DeepLearningDemandForecastingSmartGrids.pdf","source":{"id":"https://openalex.org/S4306400688","display_name":"University of Valladolid Documentary Repository (University of Valladolid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108103353","host_organization_name":"Universidad de Valladolid","host_organization_lineage":["https://openalex.org/I108103353"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:d04af905b59044e48872760cf1213ad9","is_oa":true,"landing_page_url":"https://doaj.org/article/d04af905b59044e48872760cf1213ad9","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":"Sensors, Vol 23, Iss 3, p 1467 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/3/1467/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23031467","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 3; Pages: 1467","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23031467","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031467","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1467/pdf?version=1674898893","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":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,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4318464897.pdf","grobid_xml":"https://content.openalex.org/works/W4318464897.grobid-xml"},"referenced_works_count":110,"referenced_works":["https://openalex.org/W97016928","https://openalex.org/W112305914","https://openalex.org/W628907222","https://openalex.org/W784166158","https://openalex.org/W812498034","https://openalex.org/W1573221004","https://openalex.org/W1607935295","https://openalex.org/W1899402344","https://openalex.org/W1937407283","https://openalex.org/W1983771093","https://openalex.org/W2003399840","https://openalex.org/W2008668719","https://openalex.org/W2072963278","https://openalex.org/W2107025615","https://openalex.org/W2110485445","https://openalex.org/W2123068943","https://openalex.org/W2136922672","https://openalex.org/W2144335970","https://openalex.org/W2148431083","https://openalex.org/W2151767444","https://openalex.org/W2153268908","https://openalex.org/W2158442843","https://openalex.org/W2202089267","https://openalex.org/W2289747183","https://openalex.org/W2297334139","https://openalex.org/W2334294357","https://openalex.org/W2467252674","https://openalex.org/W2544917713","https://openalex.org/W2546730287","https://openalex.org/W2597866042","https://openalex.org/W2610549496","https://openalex.org/W2771979366","https://openalex.org/W2783616455","https://openalex.org/W2788553534","https://openalex.org/W2794072729","https://openalex.org/W2794994399","https://openalex.org/W2806319724","https://openalex.org/W2810329704","https://openalex.org/W2890106926","https://openalex.org/W2897257904","https://openalex.org/W2904635416","https://openalex.org/W2910121883","https://openalex.org/W2912385129","https://openalex.org/W2913712311","https://openalex.org/W2922950616","https://openalex.org/W2944673875","https://openalex.org/W2945682052","https://openalex.org/W2948490758","https://openalex.org/W2950423443","https://openalex.org/W2954192867","https://openalex.org/W2964199361","https://openalex.org/W2965438930","https://openalex.org/W2966982635","https://openalex.org/W2969912247","https://openalex.org/W2970627073","https://openalex.org/W2970960007","https://openalex.org/W2974046511","https://openalex.org/W2979990517","https://openalex.org/W2981041479","https://openalex.org/W2984347565","https://openalex.org/W2984353870","https://openalex.org/W2995784649","https://openalex.org/W3000120388","https://openalex.org/W3003290394","https://openalex.org/W3004444197","https://openalex.org/W3007520260","https://openalex.org/W3008865430","https://openalex.org/W3009207988","https://openalex.org/W3010476182","https://openalex.org/W3011287802","https://openalex.org/W3011349791","https://openalex.org/W3012380071","https://openalex.org/W3023969710","https://openalex.org/W3025019304","https://openalex.org/W3025161810","https://openalex.org/W3027972301","https://openalex.org/W3033909682","https://openalex.org/W3039814348","https://openalex.org/W3043294137","https://openalex.org/W3044162788","https://openalex.org/W3045355714","https://openalex.org/W3048008723","https://openalex.org/W3081003107","https://openalex.org/W3081028511","https://openalex.org/W3082175554","https://openalex.org/W3084535629","https://openalex.org/W3086063052","https://openalex.org/W3100321043","https://openalex.org/W3103064492","https://openalex.org/W3108562717","https://openalex.org/W3118131980","https://openalex.org/W3121939824","https://openalex.org/W3135028703","https://openalex.org/W3137581398","https://openalex.org/W3160329607","https://openalex.org/W3200680133","https://openalex.org/W3204229200","https://openalex.org/W4205729461","https://openalex.org/W4210399004","https://openalex.org/W4220998073","https://openalex.org/W4228997732","https://openalex.org/W4245160364","https://openalex.org/W4249970585","https://openalex.org/W4253987207","https://openalex.org/W4281565938","https://openalex.org/W4291826109","https://openalex.org/W4292377160","https://openalex.org/W6603960082","https://openalex.org/W6622441837","https://openalex.org/W6794255334"],"related_works":["https://openalex.org/W2143732059","https://openalex.org/W2013284778","https://openalex.org/W4205213322","https://openalex.org/W3031225824","https://openalex.org/W3123846687","https://openalex.org/W3126566819","https://openalex.org/W2967954586","https://openalex.org/W2017235719","https://openalex.org/W2389561653","https://openalex.org/W2366973950"],"abstract_inverted_index":{"Smart":[0],"grids":[1,38],"are":[2,54],"able":[3],"to":[4,45,58],"forecast":[5,66],"customers'":[6],"consumption":[7],"patterns,":[8],"i.e.,":[9],"their":[10],"energy":[11],"demand,":[12],"and":[13,64,104,114,139,146],"consequently":[14],"electricity":[15],"can":[16],"be":[17,46],"transmitted":[18],"after":[19],"taking":[20],"into":[21,96],"account":[22],"the":[23,33,73,97,100,109,119,158],"expected":[24],"demand.":[25],"To":[26,129],"face":[27],"today's":[28],"demand":[29,67,101,126,140,165],"forecasting":[30,70,102,127],"challenges,":[31],"where":[32],"data":[34,63],"generated":[35],"by":[36],"smart":[37,112],"is":[39,141,162],"huge,":[40],"modern":[41],"data-driven":[42],"techniques":[43],"need":[44],"used.":[47],"In":[48],"this":[49],"scenario,":[50],"Deep":[51,122],"Learning":[52,123],"models":[53],"a":[55,88,135,150],"good":[56],"alternative":[57],"learn":[59],"patterns":[60],"from":[61],"customer":[62],"then":[65],"for":[68,125,164],"different":[69],"horizons.":[71],"Among":[72],"commonly":[74],"used":[75],"Artificial":[76],"Neural":[77,85],"Networks,":[78],"Long":[79],"Short-Term":[80],"Memory":[81],"networks-based":[82],"on":[83],"Recurrent":[84],"Networks-are":[86],"playing":[87],"prominent":[89],"role.":[90],"This":[91],"paper":[92],"provides":[93],"an":[94,131],"insight":[95],"importance":[98],"of":[99,111,118,121],"issue,":[103],"other":[105],"related":[106],"factors,":[107],"in":[108,153,157],"context":[110],"grids,":[113],"collects":[115],"some":[116],"experiences":[117],"use":[120],"techniques,":[124],"purposes.":[128],"have":[130],"efficient":[132],"power":[133],"system,":[134],"balance":[136],"between":[137],"supply":[138],"necessary.":[142],"Therefore,":[143],"industry":[144],"stakeholders":[145],"researchers":[147],"should":[148],"make":[149],"special":[151],"effort":[152],"load":[154],"forecasting,":[155],"especially":[156],"short":[159],"term,":[160],"which":[161],"critical":[163],"response.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":39},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":7}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}