{"id":"https://openalex.org/W4220966687","doi":"https://doi.org/10.1155/2022/4017708","title":"Microgrid Load Forecasting Based on Improved Long Short-Term Memory Network","display_name":"Microgrid Load Forecasting Based on Improved Long Short-Term Memory Network","publication_year":2022,"publication_date":"2022-03-20","ids":{"openalex":"https://openalex.org/W4220966687","doi":"https://doi.org/10.1155/2022/4017708"},"language":"en","primary_location":{"id":"doi:10.1155/2022/4017708","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2022/4017708","pdf_url":"https://downloads.hindawi.com/journals/jece/2022/4017708.pdf","source":{"id":"https://openalex.org/S174662166","display_name":"Journal of Electrical and Computer Engineering","issn_l":"2090-0147","issn":["2090-0147","2090-0155"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electrical and Computer Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/jece/2022/4017708.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082957027","display_name":"Qiyue Huang","orcid":"https://orcid.org/0000-0003-0375-1136"},"institutions":[{"id":"https://openalex.org/I4210143969","display_name":"Ningbo Polytechnic","ror":"https://ror.org/04c154n61","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390","https://openalex.org/I4210143969"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiyue Huang","raw_affiliation_strings":["Ningbo Polytechnic, Ningbo 315800, China"],"raw_orcid":"https://orcid.org/0000-0003-0375-1136","affiliations":[{"raw_affiliation_string":"Ningbo Polytechnic, Ningbo 315800, China","institution_ids":["https://openalex.org/I4210143969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101187425","display_name":"Yuqing Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuqing Zheng","raw_affiliation_strings":["Ningbo Center for CEEC Expo & Cooperation Promotion, Ningbo 315800, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo Center for CEEC Expo & Cooperation Promotion, Ningbo 315800, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101824615","display_name":"Yuxuan Xu","orcid":"https://orcid.org/0000-0003-2296-1438"},"institutions":[{"id":"https://openalex.org/I4210143969","display_name":"Ningbo Polytechnic","ror":"https://ror.org/04c154n61","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390","https://openalex.org/I4210143969"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Xu","raw_affiliation_strings":["Ningbo Polytechnic, Ningbo 315800, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo Polytechnic, Ningbo 315800, China","institution_ids":["https://openalex.org/I4210143969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082957027"],"corresponding_institution_ids":["https://openalex.org/I4210143969"],"apc_list":{"value":1400,"currency":"USD","value_usd":1400},"apc_paid":{"value":1400,"currency":"USD","value_usd":1400},"fwci":0.4616,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59627083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"8"},"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/T14444","display_name":"Power Systems and Renewable Energy","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/microgrid","display_name":"Microgrid","score":0.9454014897346497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6914845705032349},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5972234606742859},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5033120512962341},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4847511947154999},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.4815240502357483},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.42729729413986206},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.42565441131591797},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.37838372588157654},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3688536286354065},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32418549060821533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23764020204544067},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20772984623908997}],"concepts":[{"id":"https://openalex.org/C2776784348","wikidata":"https://www.wikidata.org/wiki/Q5762595","display_name":"Microgrid","level":3,"score":0.9454014897346497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6914845705032349},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5972234606742859},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5033120512962341},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4847511947154999},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.4815240502357483},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.42729729413986206},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.42565441131591797},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.37838372588157654},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3688536286354065},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32418549060821533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23764020204544067},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20772984623908997},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2022/4017708","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2022/4017708","pdf_url":"https://downloads.hindawi.com/journals/jece/2022/4017708.pdf","source":{"id":"https://openalex.org/S174662166","display_name":"Journal of Electrical and Computer Engineering","issn_l":"2090-0147","issn":["2090-0147","2090-0155"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electrical and Computer Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1dd0594c1c6b41d394c4bda301021cbe","is_oa":true,"landing_page_url":"https://doaj.org/article/1dd0594c1c6b41d394c4bda301021cbe","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":"Journal of Electrical and Computer Engineering, Vol 2022 (2022)","raw_type":"article"},{"id":"pmh:oai:hindawi.com:10.1155/2022/4017708","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/4017708","pdf_url":null,"source":{"id":"https://openalex.org/S4306400340","display_name":"Hindawi Journal of Chemistry (Hindawi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210126990","host_organization_name":"Hindawi (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210126990"],"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":"","raw_type":"Research Article"}],"best_oa_location":{"id":"doi:10.1155/2022/4017708","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2022/4017708","pdf_url":"https://downloads.hindawi.com/journals/jece/2022/4017708.pdf","source":{"id":"https://openalex.org/S174662166","display_name":"Journal of Electrical and Computer Engineering","issn_l":"2090-0147","issn":["2090-0147","2090-0155"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electrical and Computer Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220966687.pdf","grobid_xml":"https://content.openalex.org/works/W4220966687.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1968377834","https://openalex.org/W1991420715","https://openalex.org/W2024620483","https://openalex.org/W2133604230","https://openalex.org/W2221771496","https://openalex.org/W2799827709","https://openalex.org/W2883904934","https://openalex.org/W2911539802","https://openalex.org/W2923573337","https://openalex.org/W2936236242","https://openalex.org/W2943991646","https://openalex.org/W3003714201"],"related_works":["https://openalex.org/W4210780382","https://openalex.org/W2057975886","https://openalex.org/W4308700935","https://openalex.org/W1574359403","https://openalex.org/W2356033827","https://openalex.org/W2391138633","https://openalex.org/W4206134051","https://openalex.org/W2907234787","https://openalex.org/W4285503559","https://openalex.org/W4383747562"],"abstract_inverted_index":{"With":[0],"the":[1,8,22,28,38,42,52,57,100,111,120,127,132,156,162,187,192],"fast":[2],"growing":[3],"of":[4,10,32,41,103,129,164,191],"new":[5],"energy":[6,13,20,33],"technologies,":[7],"proportion":[9],"distributed":[11],"renewable":[12],"sources":[14],"dominated":[15],"by":[16],"wind":[17],"and":[18,30,68,76,110,114,144,189],"light":[19],"in":[21,168],"microgrid":[23,87,167],"continues":[24],"to":[25,37,55,125,154,185],"increase.":[26],"However,":[27],"uncertainty":[29],"randomness":[31],"itself":[34],"bring":[35],"challenges":[36],"stable":[39],"operation":[40,74],"power":[43,65],"system.":[44],"Microgrid":[45],"load":[46,104,157],"forecasting":[47,150,183],"with":[48,181],"high":[49],"accuracy":[50,188],"is":[51,97,107,123,152],"key":[53],"means":[54],"handle":[56],"above":[58],"problems.":[59],"It":[60],"can":[61],"provide":[62],"help":[63],"for":[64,86],"grid":[66],"dispatching":[67],"decision-making,":[69],"optimize":[70],"resource":[71],"allocation,":[72],"reduce":[73],"cost,":[75],"ensure":[77,126],"system":[78],"safety.":[79],"In":[80],"this":[81],"paper,":[82],"a":[83,148,165],"load-forecasting":[84],"algorithm":[85],"based":[88,160],"on":[89,161],"improved":[90,135],"long":[91],"short-term":[92],"memory":[93],"neural":[94],"network":[95],"(LSTM)":[96],"proposed.":[98],"Firstly,":[99],"criticality":[101],"analysis":[102],"influencing":[105],"factors":[106],"carried":[108],"out,":[109],"clustering":[112],"classification":[113],"weight":[115],"calculation":[116],"are":[117,174,178],"completed.":[118],"Then,":[119],"input":[121],"data":[122,163],"preprocessed":[124],"quality":[128],"database.":[130],"Secondly,":[131],"LSTM":[133],"gets":[134],"from":[136],"three":[137],"aspects:":[138],"multilayer":[139],"convolution":[140],"channel,":[141],"lookahead":[142],"optimizer,":[143],"AM":[145],"weight.":[146],"And":[147],"complete":[149],"model":[151],"designed":[153],"accomplish":[155],"forecasting.":[158],"Finally,":[159],"local":[166],"Zhejiang":[169],"Province,":[170],"China,":[171],"simulation":[172],"experiments":[173],"conducted.":[175],"The":[176],"results":[177],"quantitatively":[179],"compared":[180],"other":[182],"algorithms":[184],"verify":[186],"superiority":[190],"proposed":[193],"algorithm.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}