{"id":"https://openalex.org/W4393203971","doi":"https://doi.org/10.1016/j.heliyon.2024.e28381","title":"Improving the Method of Short-term Forecasting of Electric Load in Distribution Networks using Wavelet transform combined with Ridgelet Neural Network Optimized by Self-adapted Kho-Kho Optimization Algorithm","display_name":"Improving the Method of Short-term Forecasting of Electric Load in Distribution Networks using Wavelet transform combined with Ridgelet Neural Network Optimized by Self-adapted Kho-Kho Optimization Algorithm","publication_year":2024,"publication_date":"2024-03-26","ids":{"openalex":"https://openalex.org/W4393203971","doi":"https://doi.org/10.1016/j.heliyon.2024.e28381","pmid":"https://pubmed.ncbi.nlm.nih.gov/38633648","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/11021901"},"language":"en","primary_location":{"id":"doi:10.1016/j.heliyon.2024.e28381","doi":"https://doi.org/10.1016/j.heliyon.2024.e28381","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.heliyon.2024.e28381","pdf_url":null,"source":{"id":"https://openalex.org/S2898612692","display_name":"Heliyon","issn_l":"2405-8440","issn":["2405-8440"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","ki-jl-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Heliyon","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.heliyon.2024.e28381","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070766226","display_name":"Yaoying Wang","orcid":"https://orcid.org/0009-0003-4346-6601","observed_orcids":["https://orcid.org/0009-0003-4346-6601"]},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaoying Wang","raw_affiliation_strings":["School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009753741","display_name":"Shudong Sun","orcid":"https://orcid.org/0000-0002-3903-8861","observed_orcids":["https://orcid.org/0000-0002-3903-8861"]},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shudong Sun","raw_affiliation_strings":["School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102771025","display_name":"Gholamreza Fathi","orcid":"https://orcid.org/0009-0006-1675-3957","observed_orcids":["https://orcid.org/0009-0006-1675-3957"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gholamreza Fathi","raw_affiliation_strings":["Department of Electrical Engineering, Power & Water University of Technology (PWUT), Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Power & Water University of Technology (PWUT), Tehran, Iran","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014015962","display_name":"Mahdiyeh Eslami","orcid":"https://orcid.org/0000-0003-1174-1595","observed_orcids":["https://orcid.org/0000-0003-1174-1595"]},"institutions":[{"id":"https://openalex.org/I4210152146","display_name":"Islamic Azad University Kerman","ror":"https://ror.org/04ywz9252","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I4210152146"]},{"id":"https://openalex.org/I4405259362","display_name":"Islamic University of Najaf","ror":"https://ror.org/024dzaa63","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4405259362"]}],"countries":["IQ","IR"],"is_corresponding":false,"raw_author_name":"Mahdiyeh Eslami","raw_affiliation_strings":["College of Technical Engineering, The Islamic University, Najaf, Iraq","Department of Electrical Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Technical Engineering, The Islamic University, Najaf, Iraq","institution_ids":["https://openalex.org/I4405259362"]},{"raw_affiliation_string":"Department of Electrical Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran","institution_ids":["https://openalex.org/I4210152146"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070766226","https://openalex.org/A5102771025"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":1.3325,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.78023845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"10","issue":"7","first_page":"e28381","last_page":"e28381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9990000128746033,"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":0.9990000128746033,"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/T11326","display_name":"Stock Market Forecasting Methods","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":9.999999747378752e-05,"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/short-term-load-forecasting","display_name":"short-term load forecasting","score":0.8640000224113464},{"id":"https://openalex.org/keywords/load-forecasting","display_name":"load forecasting","score":0.8610000014305115},{"id":"https://openalex.org/keywords/distribution-networks","display_name":"distribution networks","score":0.9559999704360962},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"wavelet transform","score":0.9679999947547913},{"id":"https://openalex.org/keywords/self-adaptive-optimization","display_name":"self-adaptive optimization","score":0.7300000190734863},{"id":"https://openalex.org/keywords/neural-network-weight-optimization","display_name":"neural network weight optimization","score":0.640999972820282},{"id":"https://openalex.org/keywords/hourly-load-forecasting","display_name":"hourly load forecasting","score":0.6380000114440918}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6551408171653748},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6014131903648376},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5811417698860168},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5352270007133484},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5194199085235596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4694995880126953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46569618582725525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43409228324890137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32334840297698975},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08703675866127014},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1016/j.heliyon.2024.e28381","doi":"https://doi.org/10.1016/j.heliyon.2024.e28381","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.heliyon.2024.e28381","pdf_url":null,"source":{"id":"https://openalex.org/S2898612692","display_name":"Heliyon","issn_l":"2405-8440","issn":["2405-8440"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","ki-jl-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Heliyon","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:11021901","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11021901","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11021901/pdf/main.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,"listed_in":[],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Heliyon","raw_type":"Text"},{"id":"pmid:38633648","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38633648","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,"listed_in":[],"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":"Heliyon","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:7a709374d02e4af3ad539128fe729671","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/7a709374d02e4af3ad539128fe729671","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,"listed_in":[],"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":"Heliyon, Vol 10, Iss 7, Pp e28381- (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.heliyon.2024.e28381","doi":"https://doi.org/10.1016/j.heliyon.2024.e28381","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.heliyon.2024.e28381","pdf_url":null,"source":{"id":"https://openalex.org/S2898612692","display_name":"Heliyon","issn_l":"2405-8440","issn":["2405-8440"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","ki-jl-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Heliyon","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"},{"score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393203971.pdf","grobid_xml":"https://content.openalex.org/works/W4393203971.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1966655850","https://openalex.org/W2541451878","https://openalex.org/W2807831972","https://openalex.org/W2921022731","https://openalex.org/W2950877184","https://openalex.org/W2954413670","https://openalex.org/W2996374824","https://openalex.org/W2996412301","https://openalex.org/W3004860350","https://openalex.org/W3022672521","https://openalex.org/W3027972301","https://openalex.org/W3036890924","https://openalex.org/W3088383850","https://openalex.org/W3123622325","https://openalex.org/W3142222582","https://openalex.org/W4221015022","https://openalex.org/W4248345808","https://openalex.org/W4280499184","https://openalex.org/W4281932725","https://openalex.org/W4283692725","https://openalex.org/W4283804353","https://openalex.org/W4308091314","https://openalex.org/W4309377505","https://openalex.org/W4312405625","https://openalex.org/W4315786788","https://openalex.org/W4315881500","https://openalex.org/W4319034067","https://openalex.org/W4320015912","https://openalex.org/W4321377795","https://openalex.org/W4379644771","https://openalex.org/W4384832044","https://openalex.org/W4389514425","https://openalex.org/W4390685501","https://openalex.org/W4390819205"],"related_works":["https://openalex.org/W2108226972","https://openalex.org/W2008404566","https://openalex.org/W4399168328","https://openalex.org/W1967928460","https://openalex.org/W2614182302","https://openalex.org/W1984428848","https://openalex.org/W2036959914","https://openalex.org/W4405807168","https://openalex.org/W1889207610","https://openalex.org/W1967596937"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,12,19,25,219],"new":[4],"method":[5,35,61,111,142,167,195,217],"for":[6,50,222,234],"short-term":[7],"electric":[8,44,223],"load":[9,45,70,203,224],"forecasting":[10],"using":[11],"Ridgelet":[13],"Neural":[14],"Network":[15],"(RNN)":[16],"combined":[17],"with":[18,145],"wavelet":[20],"transform":[21],"and":[22,41,53,76,114,159,177,205,231],"optimized":[23,88],"by":[24,89],"Self-Adapted":[26],"(SA)":[27],"Kho-Kho":[28],"algorithm":[29,101],"(SAKhoKho).":[30],"The":[31,59,84,109,140,161,193,215],"aim":[32],"of":[33,43,55,98,175,183,244],"this":[34],"is":[36,48,94,112,128,143,218],"to":[37,67,80,210],"improve":[38],"the":[39,51,63,69,78,90,99,105,117,123,135,151,165,169,187,198,202,207,212,235,240],"accuracy":[40],"reliability":[42],"forecasting,":[46,225],"which":[47,93,127],"essential":[49],"planning":[52],"operation":[54],"competitive":[56],"electrical":[57],"networks.":[58],"proposed":[60,110,141,166,194,216],"uses":[62],"Wavelet":[64],"Transform":[65],"(WT)":[66],"decompose":[68],"data":[71,204],"into":[72],"different":[73],"frequency":[74],"components":[75],"applies":[77],"RNN":[79,85],"each":[81],"component":[82],"separately.":[83],"is,":[86],"then,":[87],"SAKhoKho":[91],"algorithm,":[92],"an":[95],"improved":[96],"version":[97],"KhoKho":[100],"that":[102,164],"can":[103,196,228],"adapt":[104],"search":[106],"parameters":[107],"dynamically.":[108],"trained":[113],"tested":[115],"on":[116,134,239],"Zone":[118],"Preliminary":[119],"Billing":[120],"Data":[121],"from":[122,150],"PJM":[124],"regulatory":[125],"area,":[126],"updated":[129],"every":[130],"two":[131],"weeks":[132],"based":[133,238],"Intercontinental":[136],"Exchange":[137],"(ICE)":[138],"figures.":[139],"compared":[144],"six":[146],"other":[147],"cutting-edge":[148],"methods":[149],"literature,":[152],"including":[153],"SVM/SA,":[154],"hybrid,":[155],"ARIMA,":[156],"MLP/PSO,":[157],"CNN,":[158],"RNN/KhoKho/WT.":[160],"results":[162],"show":[163],"achieves":[168],"lowest":[170],"Mean":[171,179],"Absolute":[172],"Error":[173,181],"(MAE)":[174],"7.7704":[176],"Root":[178],"Square":[180],"(RMSE)":[182],"17.4132":[184],"among":[185],"all":[186],"methods,":[188],"indicating":[189],"its":[190],"superior":[191],"performance.":[192],"capture":[197],"temporal":[199],"dependencies":[200],"in":[201],"optimize":[206],"RNN's":[208],"weights":[209],"minimize":[211],"error":[213],"function.":[214],"promising":[220],"technique":[221],"as":[226],"it":[227],"provide":[229],"accurate":[230],"reliable":[232],"predictions":[233],"next":[236],"hour":[237],"previous":[241],"24":[242],"h":[243],"data.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2024-03-27T00:00:00"}
