{"id":"https://openalex.org/W4406186126","doi":"https://doi.org/10.1186/s42162-024-00467-4","title":"Optimization of power system load forecasting and scheduling based on artificial neural networks","display_name":"Optimization of power system load forecasting and scheduling based on artificial neural networks","publication_year":2025,"publication_date":"2025-01-08","ids":{"openalex":"https://openalex.org/W4406186126","doi":"https://doi.org/10.1186/s42162-024-00467-4"},"language":"en","primary_location":{"id":"doi:10.1186/s42162-024-00467-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-024-00467-4","pdf_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-024-00467-4","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-024-00467-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068848568","display_name":"Jiangbo Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]},{"id":"https://openalex.org/I4210137797","display_name":"Economic Research Institute","ror":"https://ror.org/03y2be923","country_code":"BG","type":"nonprofit","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210137797"]}],"countries":["BG","CN"],"is_corresponding":true,"raw_author_name":"Jiangbo Jing","raw_affiliation_strings":["Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi\u2019an, 710000, China","Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi'an, 710000, China"],"affiliations":[{"raw_affiliation_string":"Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi\u2019an, 710000, China","institution_ids":["https://openalex.org/I4210137797"]},{"raw_affiliation_string":"Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi'an, 710000, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042439984","display_name":"Hongyu Di","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]},{"id":"https://openalex.org/I4210137797","display_name":"Economic Research Institute","ror":"https://ror.org/03y2be923","country_code":"BG","type":"nonprofit","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210137797"]}],"countries":["BG","CN"],"is_corresponding":false,"raw_author_name":"Hongyu Di","raw_affiliation_strings":["Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi\u2019an, 710000, China","Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi'an, 710000, China"],"affiliations":[{"raw_affiliation_string":"Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi\u2019an, 710000, China","institution_ids":["https://openalex.org/I4210137797"]},{"raw_affiliation_string":"Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi'an, 710000, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100686453","display_name":"Ting Wang","orcid":"https://orcid.org/0000-0001-7414-5390"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]},{"id":"https://openalex.org/I4210137797","display_name":"Economic Research Institute","ror":"https://ror.org/03y2be923","country_code":"BG","type":"nonprofit","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210137797"]}],"countries":["BG","CN"],"is_corresponding":false,"raw_author_name":"Ting Wang","raw_affiliation_strings":["Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi\u2019an, 710000, China","Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi'an, 710000, China"],"affiliations":[{"raw_affiliation_string":"Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi\u2019an, 710000, China","institution_ids":["https://openalex.org/I4210137797"]},{"raw_affiliation_string":"Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi'an, 710000, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064063239","display_name":"Ning Jiang","orcid":"https://orcid.org/0000-0002-2776-6669"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]},{"id":"https://openalex.org/I4210137797","display_name":"Economic Research Institute","ror":"https://ror.org/03y2be923","country_code":"BG","type":"nonprofit","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210137797"]}],"countries":["BG","CN"],"is_corresponding":false,"raw_author_name":"Ning Jiang","raw_affiliation_strings":["Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi\u2019an, 710000, China","Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi'an, 710000, China"],"affiliations":[{"raw_affiliation_string":"Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi\u2019an, 710000, China","institution_ids":["https://openalex.org/I4210137797"]},{"raw_affiliation_string":"Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi'an, 710000, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036522280","display_name":"Zhaoyang Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]},{"id":"https://openalex.org/I4210137797","display_name":"Economic Research Institute","ror":"https://ror.org/03y2be923","country_code":"BG","type":"nonprofit","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210137797"]}],"countries":["BG","CN"],"is_corresponding":false,"raw_author_name":"Zhaoyang Xiang","raw_affiliation_strings":["Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi\u2019an, 710000, China","Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi'an, 710000, China"],"affiliations":[{"raw_affiliation_string":"Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi\u2019an, 710000, China","institution_ids":["https://openalex.org/I4210137797"]},{"raw_affiliation_string":"Economic and Technical Research Institute, State Grid Shaanxi Electric Power Co., Ltd, Xi'an, 710000, China","institution_ids":["https://openalex.org/I17442442"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068848568"],"corresponding_institution_ids":["https://openalex.org/I17442442","https://openalex.org/I4210137797"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":11.4891,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.98601288,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"8","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9987000226974487,"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":0.9987000226974487,"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":0.982200026512146,"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":0.9718999862670898,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7239382863044739},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.603746771812439},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5609890818595886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45658841729164124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35912269353866577},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.24303048849105835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11207559704780579}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7239382863044739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.603746771812439},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5609890818595886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45658841729164124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35912269353866577},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.24303048849105835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11207559704780579}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s42162-024-00467-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-024-00467-4","pdf_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-024-00467-4","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7a6c1675385940f8beff835970cf0b8e","is_oa":true,"landing_page_url":"https://doaj.org/article/7a6c1675385940f8beff835970cf0b8e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Energy Informatics, Vol 8, Iss 1, Pp 1-20 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s42162-024-00467-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-024-00467-4","pdf_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-024-00467-4","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406186126.pdf","grobid_xml":"https://content.openalex.org/works/W4406186126.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W3021076293","https://openalex.org/W3205257834","https://openalex.org/W4206101647","https://openalex.org/W4282915142","https://openalex.org/W4285122835","https://openalex.org/W4309484088","https://openalex.org/W4312085358","https://openalex.org/W4317886139","https://openalex.org/W4319159759","https://openalex.org/W4322631283","https://openalex.org/W4353070739","https://openalex.org/W4365790152","https://openalex.org/W4376604930","https://openalex.org/W4378574043","https://openalex.org/W4382315186","https://openalex.org/W4382655263","https://openalex.org/W4383682506","https://openalex.org/W4384497176","https://openalex.org/W4386534963","https://openalex.org/W4387497930","https://openalex.org/W4387767193","https://openalex.org/W4388248293","https://openalex.org/W4388627912","https://openalex.org/W4392618130","https://openalex.org/W4394704443","https://openalex.org/W4400527354","https://openalex.org/W4401974455"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"study":[2],"seeks":[3],"to":[4,83,108,177,183,192,223],"enhance":[5],"the":[6,54,63,67,71,85,97,111,116,122,128,152,168,172,210,224,234,240,247,259],"accuracy":[7,133,160,269],"and":[8,57,70,119,142,186,228,243,256,263,270],"economic":[9,117,271],"efficiency":[10,118],"of":[11,66,87,121,134,137,140,145,161,165,195,201,254],"power":[12,44,123,281],"system":[13,282],"load":[14,45,98],"forecasting":[15],"(PSLF)":[16],"by":[17],"leveraging":[18],"Artificial":[19],"Neural":[20,154],"Networks.":[21],"A":[22],"predictive":[23],"model":[24,170,262],"based":[25],"on":[26,96],"a":[27,100],"Residual":[28],"Connection":[29],"Bidirectional":[30,55],"Long":[31,56],"Short":[32,58],"Term":[33,59],"Memory":[34,60],"Attention":[35],"mechanism":[36,80],"(RBiLSTM-AM)":[37],"is":[38,49,81,106],"proposed.":[39],"In":[40,163],"this":[41],"model,":[42,156],"normalized":[43],"time":[46,68,89,220],"series":[47,69],"data":[48],"used":[50],"as":[51],"input,":[52],"with":[53,233],"network":[61],"capturing":[62],"bidirectional":[64],"dependencies":[65],"residual":[72],"connections":[73],"preventing":[74],"gradient":[75],"vanishing.":[76],"Subsequently,":[77],"an":[78,132,143,159],"attention":[79],"applied":[82],"capture":[84],"influence":[86],"significant":[88,268],"steps,":[90],"thereby":[91],"improving":[92],"prediction":[93],"accuracy.":[94],"Based":[95],"forecasting,":[99],"Particle":[101],"Swarm":[102],"Optimization":[103],"(PSO)":[104],"algorithm":[105],"employed":[107],"quickly":[109],"determine":[110],"optimal":[112],"scheduling":[113,212,265],"strategy,":[114],"ensuring":[115],"safety":[120],"system.":[124],"Results":[125],"show":[126],"that":[127,209],"proposed":[129,260],"RBiLSTM-AM":[130,169,261],"achieves":[131,214],"96.68%,":[135],"precision":[136],"91.56%,":[138],"recall":[139],"90.51%,":[141],"F1-score":[144],"91.37%,":[146],"significantly":[147,215],"outperforming":[148],"other":[149,202],"models":[150],"(e.g.,":[151],"Recurrent":[153],"Network":[155],"which":[157,196],"has":[158],"69.94%).":[162],"terms":[164],"error":[166,176,182,190],"metrics,":[167],"reduces":[171],"root":[173],"mean":[174,180,187],"square":[175],"123.70":[178],"kW,":[179,185],"absolute":[181,188],"104.44":[184],"percentage":[189],"(MAPE)":[191],"5.62%,":[193],"all":[194],"are":[197],"lower":[198,216,251],"than":[199,252],"those":[200,253],"models.":[203],"Economic":[204],"cost":[205,235],"analysis":[206],"further":[207],"demonstrates":[208],"PSO":[211,264],"strategy":[213,266],"costs":[217],"at":[218],"most":[219],"points":[221],"compared":[222],"Genetic":[225],"Algorithm":[226],"(GA)":[227],"Simulated":[229],"Annealing":[230],"(SA)":[231],"strategies,":[232],"being":[236],"689.17":[237],"USD":[238,245],"in":[239,246,273],"first":[241],"hour":[242],"2214.03":[244],"fourth":[248],"hour,":[249],"both":[250],"GA":[255],"SA.":[257],"Therefore,":[258],"demonstrate":[267],"benefits":[272],"PSLF,":[274],"providing":[275],"effective":[276],"technical":[277],"support":[278],"for":[279],"optimizing":[280],"scheduling.":[283]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":9}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}