{"id":"https://openalex.org/W4292574915","doi":"https://doi.org/10.3390/sym14081733","title":"A Metaheuristics-Based Inputs Selection and Training Set Formation Method for Load Forecasting","display_name":"A Metaheuristics-Based Inputs Selection and Training Set Formation Method for Load Forecasting","publication_year":2022,"publication_date":"2022-08-19","ids":{"openalex":"https://openalex.org/W4292574915","doi":"https://doi.org/10.3390/sym14081733"},"language":"en","primary_location":{"id":"doi:10.3390/sym14081733","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14081733","pdf_url":"https://www.mdpi.com/2073-8994/14/8/1733/pdf?version=1660906194","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/14/8/1733/pdf?version=1660906194","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068016641","display_name":"Ioannis P. Panapakidis","orcid":"https://orcid.org/0000-0002-5229-3939"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Ioannis Panapakidis","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Thessaly, 38221 Volos, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Thessaly, 38221 Volos, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065429480","display_name":"Michail Katsivelakis","orcid":"https://orcid.org/0000-0001-8045-662X"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Michail Katsivelakis","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Thessaly, 38221 Volos, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Thessaly, 38221 Volos, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017449784","display_name":"Dimitrios Bargiotas","orcid":"https://orcid.org/0000-0001-8285-8972"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios Bargiotas","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Thessaly, 38221 Volos, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Thessaly, 38221 Volos, Greece","institution_ids":["https://openalex.org/I145722265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068016641"],"corresponding_institution_ids":["https://openalex.org/I145722265"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.3684,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57208182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"14","issue":"8","first_page":"1733","last_page":"1733"},"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/T10424","display_name":"Electric Power System Optimization","score":0.9944000244140625,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9894000291824341,"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/computer-science","display_name":"Computer science","score":0.7398253679275513},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7043978571891785},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6692276000976562},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.49648410081863403},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4710652232170105},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.4340960383415222},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.42284882068634033},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4215860068798065},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3701237738132477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36381861567497253},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35634124279022217},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11268061399459839}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7398253679275513},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7043978571891785},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6692276000976562},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.49648410081863403},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4710652232170105},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.4340960383415222},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.42284882068634033},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4215860068798065},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3701237738132477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36381861567497253},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35634124279022217},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11268061399459839},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/sym14081733","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14081733","pdf_url":"https://www.mdpi.com/2073-8994/14/8/1733/pdf?version=1660906194","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bfe65041985c4245a098a2e7c46c8706","is_oa":true,"landing_page_url":"https://doaj.org/article/bfe65041985c4245a098a2e7c46c8706","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":"Symmetry, Vol 14, Iss 8, p 1733 (2022)","raw_type":"article"},{"id":"pmh:oai:ir.lib.uth.gr:11615/77474","is_oa":false,"landing_page_url":"http://hdl.handle.net/11615/77474","pdf_url":null,"source":{"id":"https://openalex.org/S4306400243","display_name":"University of Thessaly Institutional Repository (University of Thessaly)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145722265","host_organization_name":"University of Thessaly","host_organization_lineage":["https://openalex.org/I145722265"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"journalArticle"},{"id":"pmh:oai:mdpi.com:/2073-8994/14/8/1733/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym14081733","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":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym14081733","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14081733","pdf_url":"https://www.mdpi.com/2073-8994/14/8/1733/pdf?version=1660906194","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4292574915.pdf","grobid_xml":"https://content.openalex.org/works/W4292574915.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1551063595","https://openalex.org/W1964364237","https://openalex.org/W1987971958","https://openalex.org/W1997746543","https://openalex.org/W2001165499","https://openalex.org/W2020298775","https://openalex.org/W2036959914","https://openalex.org/W2076855907","https://openalex.org/W2089822378","https://openalex.org/W2095738857","https://openalex.org/W2098142388","https://openalex.org/W2103430225","https://openalex.org/W2118327913","https://openalex.org/W2124315569","https://openalex.org/W2125871282","https://openalex.org/W2128904943","https://openalex.org/W2133323399","https://openalex.org/W2133720763","https://openalex.org/W2139073438","https://openalex.org/W2144335970","https://openalex.org/W2147830786","https://openalex.org/W2151767444","https://openalex.org/W2161602588","https://openalex.org/W2168416146","https://openalex.org/W2171518208","https://openalex.org/W2216706082","https://openalex.org/W2275088575","https://openalex.org/W2534287718","https://openalex.org/W2537797217","https://openalex.org/W2560818698","https://openalex.org/W2757201877","https://openalex.org/W2783541729","https://openalex.org/W2807831972","https://openalex.org/W2883971393","https://openalex.org/W2895861596","https://openalex.org/W2898515673","https://openalex.org/W2898775203","https://openalex.org/W2901312569","https://openalex.org/W2914505053","https://openalex.org/W3214405163","https://openalex.org/W4233055416","https://openalex.org/W4236876307","https://openalex.org/W6728616657"],"related_works":["https://openalex.org/W2789681586","https://openalex.org/W2794361564","https://openalex.org/W4243392960","https://openalex.org/W3156820950","https://openalex.org/W4232791346","https://openalex.org/W2971069100","https://openalex.org/W2504553392","https://openalex.org/W2331509522","https://openalex.org/W2937748796","https://openalex.org/W2135210976"],"abstract_inverted_index":{"Load":[0],"forecasting":[1,21,68,97,155],"is":[2,104,119,128,140,161,186],"a":[3,50,83,114,136,152,164],"procedure":[4],"of":[5,34,77,94,111,147,175,193],"fundamental":[6],"importance":[7],"in":[8,41,151,188],"power":[9],"systems":[10,26],"operation":[11],"and":[12,30,64,75],"planning.":[13],"Many":[14],"entities":[15],"can":[16],"benefit":[17],"from":[18],"accurate":[19],"load":[20,63,96,154,165,177],"such":[22],"as":[23],"generation":[24],"companies,":[25],"operators,":[27],"retailers,":[28],"prosumers,":[29],"others.":[31],"A":[32],"variety":[33],"models":[35],"have":[36],"been":[37],"proposed":[38,149,159],"so":[39,122],"far":[40],"the":[42,60,73,92,100,108,124,145,148,158,171,176,183,194,202],"literature.":[43,179],"Among":[44],"them,":[45],"artificial":[46],"neural":[47,115,138],"networks":[48],"are":[49],"favorable":[51],"approach":[52,150],"mainly":[53],"due":[54],"to":[55,106],"their":[56],"potential":[57],"for":[58,90,113],"capturing":[59],"relationship":[61],"between":[62],"other":[65],"parameters.":[66],"The":[67,79,191],"performance":[69,93],"highly":[70],"depends":[71],"on":[72,163],"number":[74],"types":[76,110],"inputs.":[78],"present":[80],"paper":[81],"presents":[82],"particle":[84],"swarm":[85],"optimization":[86],"(PSO)":[87],"two-step":[88],"method":[89],"increasing":[91],"short-term":[95],"(STLF).":[98],"During":[99,180],"first":[101],"step,":[102],"PSO":[103,118],"applied":[105,120],"derive":[107],"optimal":[109],"inputs":[112],"network.":[116],"Next,":[117],"again":[121],"that":[123],"available":[125],"training":[126,195],"data":[127],"split":[129],"into":[130],"homogeneous":[131],"clusters.":[132],"For":[133],"each":[134],"cluster,":[135],"different":[137],"network":[139],"utilized.":[141],"Experimental":[142],"results":[143],"verify":[144],"robustness":[146],"bus":[153],"problem.":[156],"Also,":[157],"algorithm":[160],"checked":[162],"profiling":[166],"problem":[167],"where":[168],"it":[169],"outperforms":[170],"most":[172],"common":[173],"algorithms":[174],"profiling-related":[178],"input":[181],"selection,":[182],"weights":[184,192],"update":[185],"held":[187],"asymmetrical":[189],"duration.":[190],"phase":[196],"require":[197],"more":[198],"time":[199],"compared":[200],"with":[201],"test":[203],"phase.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}