{"id":"https://openalex.org/W2964105430","doi":"https://doi.org/10.3233/jifs-190548","title":"Stacked autoencoders and extreme learning machine based hybrid model for electrical load prediction","display_name":"Stacked autoencoders and extreme learning machine based hybrid model for electrical load prediction","publication_year":2019,"publication_date":"2019-07-22","ids":{"openalex":"https://openalex.org/W2964105430","doi":"https://doi.org/10.3233/jifs-190548","mag":"2964105430"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-190548","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-190548","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101887307","display_name":"Wei Peng","orcid":"https://orcid.org/0000-0003-4513-8970"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Peng","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, China","Shandong Co-Innovation Center of Green Building, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"Shandong Co-Innovation Center of Green Building, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087197748","display_name":"Liwen Xu","orcid":"https://orcid.org/0000-0003-2133-8257"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liwen Xu","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, China","Shandong Co-Innovation Center of Green Building, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"Shandong Co-Innovation Center of Green Building, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023987464","display_name":"Chengdong Li","orcid":"https://orcid.org/0000-0002-9680-3523"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengdong Li","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, China","Shandong Co-Innovation Center of Green Building, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"Shandong Co-Innovation Center of Green Building, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102613392","display_name":"Xiuying Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuying Xie","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, China","Shandong Co-Innovation Center of Green Building, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"Shandong Co-Innovation Center of Green Building, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101744385","display_name":"Guiqing Zhang","orcid":"https://orcid.org/0000-0002-1400-6783"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiqing Zhang","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, China","Shandong Co-Innovation Center of Green Building, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"Shandong Co-Innovation Center of Green Building, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023987464"],"corresponding_institution_ids":["https://openalex.org/I44445938"],"apc_list":null,"apc_paid":null,"fwci":0.4236,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70749122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"37","issue":"4","first_page":"5403","last_page":"5416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9995999932289124,"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/T10320","display_name":"Neural Networks and Applications","score":0.9980000257492065,"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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.9124436378479004},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7312803268432617},{"id":"https://openalex.org/keywords/electrical-load","display_name":"Electrical load","score":0.7068971395492554},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6270149350166321},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5623466968536377},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5503281950950623},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.45158204436302185},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.43535497784614563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4350042939186096},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4346274435520172},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4308111369609833},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.41380560398101807},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3798920512199402},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11800161004066467},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10742190480232239}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.9124436378479004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7312803268432617},{"id":"https://openalex.org/C77715397","wikidata":"https://www.wikidata.org/wiki/Q931447","display_name":"Electrical load","level":3,"score":0.7068971395492554},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6270149350166321},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5623466968536377},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5503281950950623},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.45158204436302185},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.43535497784614563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4350042939186096},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4346274435520172},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4308111369609833},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.41380560398101807},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3798920512199402},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11800161004066467},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10742190480232239},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":1,"locations":[{"id":"doi:10.3233/jifs-190548","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-190548","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W281892562","https://openalex.org/W600732527","https://openalex.org/W1516907816","https://openalex.org/W1546167345","https://openalex.org/W1964984358","https://openalex.org/W1970088388","https://openalex.org/W1978790155","https://openalex.org/W1995741353","https://openalex.org/W1999198322","https://openalex.org/W2001438368","https://openalex.org/W2008406084","https://openalex.org/W2026131661","https://openalex.org/W2036109700","https://openalex.org/W2038250306","https://openalex.org/W2044314337","https://openalex.org/W2056646884","https://openalex.org/W2068928057","https://openalex.org/W2076063813","https://openalex.org/W2083172453","https://openalex.org/W2111072639","https://openalex.org/W2145094598","https://openalex.org/W2150783679","https://openalex.org/W2153110463","https://openalex.org/W2160815625","https://openalex.org/W2186017559","https://openalex.org/W2219715551","https://openalex.org/W2239718591","https://openalex.org/W2248994282","https://openalex.org/W2314785379","https://openalex.org/W2345122339","https://openalex.org/W2369533204","https://openalex.org/W2402393223","https://openalex.org/W2406722068","https://openalex.org/W2466134622","https://openalex.org/W2508457857","https://openalex.org/W2524321759","https://openalex.org/W2554462191","https://openalex.org/W2568538594","https://openalex.org/W2588373511","https://openalex.org/W2741701552","https://openalex.org/W2747672899","https://openalex.org/W2750399449","https://openalex.org/W2763500568","https://openalex.org/W2792882341","https://openalex.org/W2800640381","https://openalex.org/W2890581334","https://openalex.org/W2892398836","https://openalex.org/W2901640865","https://openalex.org/W2913226484","https://openalex.org/W2919115771","https://openalex.org/W2922081326","https://openalex.org/W2925658806","https://openalex.org/W2997574889"],"related_works":["https://openalex.org/W2277768259","https://openalex.org/W3195168932","https://openalex.org/W1996541855","https://openalex.org/W1525510058","https://openalex.org/W2188471147","https://openalex.org/W2242271381","https://openalex.org/W2378555542","https://openalex.org/W2618866090","https://openalex.org/W2735962158","https://openalex.org/W2955174913"],"abstract_inverted_index":{"Electrical":[0],"load":[1,17,49,58,108,173,232],"prediction":[2],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7,66,99,109,230],"power":[8,48],"system":[9],"management":[10],"and":[11,38,78,194,212],"economic":[12,30],"development.":[13],"However,":[14],"because":[15],"electrical":[16,57,93,107,172,231],"has":[18],"non-linear":[19],"relationships":[20],"with":[21,179],"several":[22],"factors":[23],"such":[24],"as":[25,122],"the":[26,29,32,35,39,56,74,85,88,103,106,112,118,123,130,134,141,146,156,163,180,183,189,195,204,207,217,227],"political":[27],"environment,":[28],"policy,":[31],"human":[33],"activities,":[34],"irregular":[36],"behaviors":[37],"other":[40],"factors,":[41],"it":[42],"is":[43,64,153,166],"quite":[44],"difficult":[45],"to":[46,53,83,101,144,168,202],"predict":[47,169],"accurately.":[50],"In":[51,95,161],"order":[52,100],"further":[54],"improve":[55],"forecasting":[59,209,233],"performance,":[60],"a":[61],"hybrid":[62,71,164,219],"model":[63,72,165,220],"proposed":[65,70,97,208,218],"this":[67,96],"paper.":[68],"The":[69,149],"combines":[73],"Stacked":[75],"AutoEncoders":[76],"(SAE)":[77],"extreme":[79],"learning":[80],"machines":[81],"(ELMs)":[82],"learn":[84],"characteristics":[86,104],"of":[87,92,105,114,117,125,206],"time":[89,174],"series":[90],"data":[91],"load.":[94],"method,":[98],"utilize":[102],"different":[110,136],"depths,":[111],"outputs":[113],"each":[115],"layer":[116],"SAE":[119],"are":[120,138,200],"taken":[121],"inputs":[124],"one":[126],"specific":[127],"ELM.":[128],"Then,":[129],"obtained":[131],"results":[132,214],"from":[133],"constructed":[135],"ELMs":[137],"integrated":[139],"by":[140,155],"linear":[142,150,191],"regression":[143,151,192,198],"obtain":[145],"final":[147],"output.":[148],"part":[152],"trained":[154],"least":[157],"square":[158],"estimation":[159],"method.":[160],"addition,":[162],"applied":[167],"two":[170],"real-world":[171],"series.":[175],"And,":[176],"detailed":[177],"comparisons":[178],"SAE,":[181],"ELM,":[182],"back":[184],"propagation":[185],"neural":[186],"network":[187],"(BPNN),":[188],"multiple":[190],"(MLR)":[193],"support":[196],"vector":[197],"(SVR)":[199],"done":[201],"show":[203],"advantages":[205],"model.":[210],"Experimental":[211],"comparison":[213],"demonstrate":[215],"that":[216],"can":[221],"achieve":[222],"much":[223],"better":[224],"performance":[225],"than":[226],"comparative":[228],"methods":[229],"application.":[234]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}