{"id":"https://openalex.org/W3015651876","doi":"https://doi.org/10.1109/ei247390.2019.9062042","title":"An Ensemble Feature Selection Method for Short-Term Electrical Load Forecasting","display_name":"An Ensemble Feature Selection Method for Short-Term Electrical Load Forecasting","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3015651876","doi":"https://doi.org/10.1109/ei247390.2019.9062042","mag":"3015651876"},"language":"en","primary_location":{"id":"doi:10.1109/ei247390.2019.9062042","doi":"https://doi.org/10.1109/ei247390.2019.9062042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ei247390.2019.9062042","pdf_url":null,"source":{"id":"https://openalex.org/S4363607716","display_name":"IEEE Conference on Energy Internet and Energy System Integration (EI2)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5070998648","display_name":"Junxingxu Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4387155567","display_name":"State Grid Hunan Electric Power Company Limited","ror":"https://ror.org/00e17m144","country_code":"CN","type":"company","lineage":["https://openalex.org/I4387155567"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxingxu Chen","raw_affiliation_strings":["Company Limited Research Institute,State Grid Hunan Electric Power,Changsha,China","State Grid Hunan Electric Power, Company Limited Research Institute, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Company Limited Research Institute,State Grid Hunan Electric Power,Changsha,China","institution_ids":["https://openalex.org/I4387155567"]},{"raw_affiliation_string":"State Grid Hunan Electric Power, Company Limited Research Institute, Changsha, China","institution_ids":["https://openalex.org/I4387155567"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104306238","display_name":"Ting Li","orcid":"https://orcid.org/0009-0008-0265-8005","observed_orcids":["https://orcid.org/0009-0008-0265-8005"]},"institutions":[{"id":"https://openalex.org/I4387155567","display_name":"State Grid Hunan Electric Power Company Limited","ror":"https://ror.org/00e17m144","country_code":"CN","type":"company","lineage":["https://openalex.org/I4387155567"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Li","raw_affiliation_strings":["Company Limited Research Institute,State Grid Hunan Electric Power,Changsha,China","State Grid Hunan Electric Power, Company Limited Research Institute, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Company Limited Research Institute,State Grid Hunan Electric Power,Changsha,China","institution_ids":["https://openalex.org/I4387155567"]},{"raw_affiliation_string":"State Grid Hunan Electric Power, Company Limited Research Institute, Changsha, China","institution_ids":["https://openalex.org/I4387155567"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021222187","display_name":"Yanhui Zou","orcid":"https://orcid.org/0000-0003-2363-456X","observed_orcids":["https://orcid.org/0000-0003-2363-456X"]},"institutions":[{"id":"https://openalex.org/I4387155567","display_name":"State Grid Hunan Electric Power Company Limited","ror":"https://ror.org/00e17m144","country_code":"CN","type":"company","lineage":["https://openalex.org/I4387155567"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhui Zou","raw_affiliation_strings":["Company Limited Research Institute,State Grid Hunan Electric Power,Changsha,China","State Grid Hunan Electric Power, Company Limited Research Institute, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Company Limited Research Institute,State Grid Hunan Electric Power,Changsha,China","institution_ids":["https://openalex.org/I4387155567"]},{"raw_affiliation_string":"State Grid Hunan Electric Power, Company Limited Research Institute, Changsha, China","institution_ids":["https://openalex.org/I4387155567"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037572289","display_name":"Guorui Wang","orcid":"https://orcid.org/0000-0002-1746-3410","observed_orcids":["https://orcid.org/0000-0002-1746-3410"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guorui Wang","raw_affiliation_strings":["Hunan Guangyi Experimental Middle School, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan Guangyi Experimental Middle School, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019563351","display_name":"Huisheng Ye","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4387155567","display_name":"State Grid Hunan Electric Power Company Limited","ror":"https://ror.org/00e17m144","country_code":"CN","type":"company","lineage":["https://openalex.org/I4387155567"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huisheng Ye","raw_affiliation_strings":["Company Limited Research Institute,State Grid Hunan Electric Power,Changsha,China","State Grid Hunan Electric Power, Company Limited Research Institute, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Company Limited Research Institute,State Grid Hunan Electric Power,Changsha,China","institution_ids":["https://openalex.org/I4387155567"]},{"raw_affiliation_string":"State Grid Hunan Electric Power, Company Limited Research Institute, Changsha, China","institution_ids":["https://openalex.org/I4387155567"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061771724","display_name":"Fengyi Lv","orcid":"https://orcid.org/0009-0007-1308-6308","observed_orcids":["https://orcid.org/0009-0007-1308-6308"]},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyi Lv","raw_affiliation_strings":["Changsha University of Science & Technology,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changsha University of Science & Technology,Changsha,China","institution_ids":["https://openalex.org/I56934997"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7655,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.90387507,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1429","last_page":"1432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9976000189781189,"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":0.9976000189781189,"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":0.00019999999494757503,"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/T10603","display_name":"Smart Grid Energy Management","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/ensemble-feature-selection","display_name":"ensemble feature selection","score":0.8410000205039978},{"id":"https://openalex.org/keywords/short-term-load-forecasting","display_name":"short-term load forecasting","score":0.8399999737739563},{"id":"https://openalex.org/keywords/embedded-feature-selection","display_name":"embedded feature selection","score":0.8259999752044678},{"id":"https://openalex.org/keywords/feature-weighting","display_name":"feature weighting","score":0.75},{"id":"https://openalex.org/keywords/load-forecasting","display_name":"load forecasting","score":0.515999972820282},{"id":"https://openalex.org/keywords/computational-cost","display_name":"computational cost","score":0.34599998593330383}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8212651014328003},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7125670909881592},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7028353214263916},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6679356098175049},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5688050985336304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5257169604301453},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5060812830924988},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.43391212821006775},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42828431725502014},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35200053453445435},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3450630307197571},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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:10.1109/ei247390.2019.9062042","doi":"https://doi.org/10.1109/ei247390.2019.9062042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ei247390.2019.9062042","pdf_url":null,"source":{"id":"https://openalex.org/S4363607716","display_name":"IEEE Conference on Energy Internet and Energy System Integration (EI2)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"},{"score":0.4399999976158142,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1989540221","https://openalex.org/W2008750647","https://openalex.org/W2015799639","https://openalex.org/W2054434031","https://openalex.org/W2081690588","https://openalex.org/W2125014994","https://openalex.org/W2341910059","https://openalex.org/W2515245443","https://openalex.org/W2736193136","https://openalex.org/W2767074638","https://openalex.org/W2781582701","https://openalex.org/W2784266182"],"related_works":["https://openalex.org/W1975027184","https://openalex.org/W2341910059","https://openalex.org/W2929000393","https://openalex.org/W4292387718","https://openalex.org/W1589675228","https://openalex.org/W4414055330","https://openalex.org/W4416404065","https://openalex.org/W4200105195","https://openalex.org/W3092456015","https://openalex.org/W2522747841"],"abstract_inverted_index":{"The":[0,24,41,55,106],"fluctuation":[1],"of":[2,36,57,100,108],"electrical":[3,86],"power":[4,38],"load":[5,39,87],"is":[6,29,62,79,94],"affected":[7],"by":[8],"numerous":[9],"external":[10],"factors,":[11],"such":[12],"as":[13],"climate":[14],"change,":[15],"economic":[16],"development,":[17],"social":[18],"form":[19],"and":[20,52,81],"special":[21],"events":[22],"etc.":[23],"optimal":[25],"feature":[26,43,59,76,103,112,125],"subset":[27],"selection":[28,44,60,77,104,113,126],"the":[30,34,98,109,123],"key":[31],"to":[32,66,96,122],"improving":[33],"accuracy":[35,120],"short-term":[37,85],"forecasting.":[40],"traditional":[42],"methods":[45,61],"have":[46],"encountered":[47],"difficulties":[48],"in":[49,119],"balancing":[50],"performance":[51],"computational":[53],"consumption.":[54],"development":[56],"ensemble":[58,75,111],"a":[63,84,116],"feasible":[64],"way":[65],"solve":[67],"this":[68,71],"dilemma.":[69],"In":[70],"paper,":[72],"an":[73],"embedded":[74,102,110],"method":[78,114],"established":[80],"investigated":[82],"on":[83],"forecasting":[88],"task.":[89],"A":[90],"new":[91],"weighting":[92],"approach":[93],"proposed":[95],"combine":[97],"result":[99],"individual":[101,124],"methods.":[105,127],"results":[107],"show":[115],"significant":[117],"increase":[118],"compared":[121]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2020-04-17T00:00:00"}