{"id":"https://openalex.org/W4392828122","doi":"https://doi.org/10.1109/tai.2024.3375833","title":"Short-Term Residential Load Forecasting via Pooling-Ensemble Model With Smoothing Clustering","display_name":"Short-Term Residential Load Forecasting via Pooling-Ensemble Model With Smoothing Clustering","publication_year":2024,"publication_date":"2024-03-14","ids":{"openalex":"https://openalex.org/W4392828122","doi":"https://doi.org/10.1109/tai.2024.3375833"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2024.3375833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2024.3375833","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","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/A5043748803","display_name":"Jiang\u2010Wen Xiao","orcid":"https://orcid.org/0000-0002-8708-2920"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang-Wen Xiao","raw_affiliation_strings":["School of Artificial Intelligence and Automation and the Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Ministry of Education, Wuhan, China","School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-8708-2920","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation and the Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Ministry of Education, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091450555","display_name":"Hongliang Fang","orcid":"https://orcid.org/0000-0003-0149-2513"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongliang Fang","raw_affiliation_strings":["School of Artificial Intelligence and Automation and the Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Ministry of Education, Wuhan, China","School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0149-2513","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation and the Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Ministry of Education, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090447443","display_name":"Yan\u2010Wu Wang","orcid":"https://orcid.org/0000-0002-4722-1332"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan-Wu Wang","raw_affiliation_strings":["School of Artificial Intelligence and Automation and the Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Ministry of Education, Wuhan, China","School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4722-1332","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation and the Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Ministry of Education, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":1.0385,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75087423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"5","issue":"7","first_page":"3690","last_page":"3702"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9957000017166138,"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":0.9957000017166138,"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/T10632","display_name":"Housing Market and Economics","score":0.9532999992370605,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9319000244140625,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/pooling","display_name":"Pooling","score":0.7957795858383179},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.792182207107544},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6836202144622803},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6404560208320618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5368922352790833},{"id":"https://openalex.org/keywords/exponential-smoothing","display_name":"Exponential smoothing","score":0.45224061608314514},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4131251871585846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2727549076080322},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.17430856823921204}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7957795858383179},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.792182207107544},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6836202144622803},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6404560208320618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5368922352790833},{"id":"https://openalex.org/C133710760","wikidata":"https://www.wikidata.org/wiki/Q775837","display_name":"Exponential smoothing","level":2,"score":0.45224061608314514},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4131251871585846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2727549076080322},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.17430856823921204},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"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:10.1109/tai.2024.3375833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2024.3375833","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G280679505","display_name":null,"funder_award_id":"62173152","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5291899221","display_name":null,"funder_award_id":"62103156","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6010900714","display_name":null,"funder_award_id":"62233006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1997729648","https://openalex.org/W2057654256","https://openalex.org/W2062548928","https://openalex.org/W2093386947","https://openalex.org/W2116873850","https://openalex.org/W2129959438","https://openalex.org/W2153804780","https://openalex.org/W2210858887","https://openalex.org/W2586095770","https://openalex.org/W2786918196","https://openalex.org/W2790566149","https://openalex.org/W2807818015","https://openalex.org/W2807835232","https://openalex.org/W2894821558","https://openalex.org/W2903864776","https://openalex.org/W2967835478","https://openalex.org/W2976256817","https://openalex.org/W2981840557","https://openalex.org/W2993018414","https://openalex.org/W2995613424","https://openalex.org/W3004104930","https://openalex.org/W3011353627","https://openalex.org/W3033406500","https://openalex.org/W3046994390","https://openalex.org/W3099335192","https://openalex.org/W3102477513","https://openalex.org/W3139255054","https://openalex.org/W3154061193","https://openalex.org/W3172773505","https://openalex.org/W3177318507","https://openalex.org/W3204201639","https://openalex.org/W3208605024","https://openalex.org/W3211301033","https://openalex.org/W3212175142","https://openalex.org/W3213631556","https://openalex.org/W3216088300","https://openalex.org/W3217470798","https://openalex.org/W4225243427","https://openalex.org/W4226154885","https://openalex.org/W4226338062","https://openalex.org/W4229065772","https://openalex.org/W4281730771","https://openalex.org/W4285099509","https://openalex.org/W4285176417","https://openalex.org/W4285246777","https://openalex.org/W4285297243","https://openalex.org/W4288032528","https://openalex.org/W4296704829","https://openalex.org/W4312259000","https://openalex.org/W4312684895","https://openalex.org/W4312807728","https://openalex.org/W4378894197","https://openalex.org/W4385338517","https://openalex.org/W4385913312","https://openalex.org/W6682780409","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W2068015237","https://openalex.org/W4382138423","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W2093101924"],"abstract_inverted_index":{"Short-term":[0],"residential":[1],"load":[2,16,21,45,55,60,83,106,126],"forecasting":[3,61],"is":[4,97,127],"essential":[5],"to":[6,26,99],"demand":[7],"side":[8],"response.":[9],"However,":[10],"the":[11,15,18,29,72,75,81,86,101,105,109,116,125,131,134,139,144,155,158,163],"frequent":[12],"spikes":[13],"in":[14,63,108,115],"and":[17,47,70,124,147,162],"volatile":[19],"daily":[20,44,82],"patterns":[22],"make":[23],"it":[24],"difficult":[25],"accurately":[27],"forecast":[28],"load.":[30],"To":[31],"deal":[32],"with":[33,85],"these":[34],"problems,":[35],"this":[36,64],"paper":[37,65],"proposes":[38],"a":[39,48,92],"smoothing":[40,88,159],"clustering":[41,46,80,89,160],"method":[42,161],"for":[43,51,121],"pooling-ensemble":[49,117,164],"model":[50,96,118],"one":[52],"day":[53],"ahead":[54],"forecasting.":[56],"The":[57],"whole":[58],"short-term":[59],"framework":[62],"contains":[66],"three":[67],"steps.":[68],"Specifically":[69],"firstly,":[71],"states":[73,123],"of":[74,104,133,143,157],"residents":[76],"are":[77,119],"obtained":[78],"by":[79,129],"curves":[84],"proposed":[87],"method.":[90],"Secondly,":[91],"weighted":[93],"mixed":[94],"Markov":[95],"built":[98],"predict":[100],"probability":[102],"distribution":[103],"state":[107],"next":[110],"day.":[111],"Thirdly,":[112],"multiple":[113,135],"predictors":[114,136],"selected":[120],"different":[122],"forecasted":[128],"weighing":[130],"results":[132],"based":[137],"on":[138,150],"predicted":[140],"states.":[141],"Results":[142],"case":[145],"studies":[146,149],"comparison":[148],"two":[151],"public":[152],"datasets":[153],"verify":[154],"advantages":[156],"model.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}