{"id":"https://openalex.org/W3165588125","doi":"https://doi.org/10.1007/s10489-021-02473-5","title":"A hybrid robust system considering outliers for electric load series forecasting","display_name":"A hybrid robust system considering outliers for electric load series forecasting","publication_year":2021,"publication_date":"2021-05-25","ids":{"openalex":"https://openalex.org/W3165588125","doi":"https://doi.org/10.1007/s10489-021-02473-5","mag":"3165588125"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-021-02473-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-021-02473-5","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied 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/A5100397492","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-0589-5355"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["College of Automation, College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Automation, College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001192857","display_name":"Zhenghang Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghang Tao","raw_affiliation_strings":["College of Automation, College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Automation, College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015411537","display_name":"Qian Chen","orcid":"https://orcid.org/0000-0003-2663-7694"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Qian","raw_affiliation_strings":["College of Automation, College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Automation, College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039373691","display_name":"Yuchao Gao","orcid":"https://orcid.org/0000-0001-5488-6095"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchao Gao","raw_affiliation_strings":["College of Automation, College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Automation, College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045323119","display_name":"Hu Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Zhou","raw_affiliation_strings":["College of Automation, College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Automation, College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030586029","display_name":"Zhe Ding","orcid":"https://orcid.org/0000-0002-5123-0135"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhe Ding","raw_affiliation_strings":["School of Computer Science, Queensland University of Technology, Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Queensland University of Technology, Queensland, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044575556","display_name":"Jinran Wu","orcid":"https://orcid.org/0000-0002-2388-3614"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Jinran Wu","raw_affiliation_strings":["School of Mathematical Science, Queensland University of Technology, Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Science, Queensland University of Technology, Queensland, Australia","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5044575556"],"corresponding_institution_ids":["https://openalex.org/I160993911"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":2.3357,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.88658123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"52","issue":"2","first_page":"1630","last_page":"1652"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9998000264167786,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9936000108718872,"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/computer-science","display_name":"Computer science","score":0.8530194759368896},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7509799003601074},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7236613035202026},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7201553583145142},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.5253952145576477},{"id":"https://openalex.org/keywords/electrical-load","display_name":"Electrical load","score":0.4642069935798645},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4474671483039856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3929932117462158},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33909863233566284},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3389069437980652},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3301534950733185},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32333439588546753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8530194759368896},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7509799003601074},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7236613035202026},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7201553583145142},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.5253952145576477},{"id":"https://openalex.org/C77715397","wikidata":"https://www.wikidata.org/wiki/Q931447","display_name":"Electrical load","level":3,"score":0.4642069935798645},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4474671483039856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3929932117462158},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33909863233566284},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3389069437980652},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3301534950733185},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32333439588546753},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10489-021-02473-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-021-02473-5","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:eprints.qut.edu.au:210605","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402607","display_name":"QUT ePrints (Queensland University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I160993911","host_organization_name":"Queensland University of Technology","host_organization_lineage":["https://openalex.org/I160993911"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Intelligence","raw_type":"Contribution to Journal"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W414544266","https://openalex.org/W883434633","https://openalex.org/W1793209788","https://openalex.org/W2001979953","https://openalex.org/W2061438946","https://openalex.org/W2159040640","https://openalex.org/W2290883490","https://openalex.org/W2326513046","https://openalex.org/W2409641346","https://openalex.org/W2738900493","https://openalex.org/W2745913225","https://openalex.org/W2754252319","https://openalex.org/W2774596248","https://openalex.org/W2797756395","https://openalex.org/W2805797750","https://openalex.org/W2893532431","https://openalex.org/W2895861596","https://openalex.org/W2897453944","https://openalex.org/W2902087482","https://openalex.org/W2905358587","https://openalex.org/W2911092109","https://openalex.org/W2917051523","https://openalex.org/W2922716635","https://openalex.org/W2942555036","https://openalex.org/W2944006160","https://openalex.org/W2951822430","https://openalex.org/W2956207189","https://openalex.org/W2965516457","https://openalex.org/W2979334714","https://openalex.org/W2998796779","https://openalex.org/W3004860350","https://openalex.org/W3008827082","https://openalex.org/W3014018326","https://openalex.org/W3025194661","https://openalex.org/W3026632199","https://openalex.org/W3027972301","https://openalex.org/W3033406500","https://openalex.org/W3034448642","https://openalex.org/W3034567169","https://openalex.org/W3039289777","https://openalex.org/W3045300245","https://openalex.org/W3045439457","https://openalex.org/W3046580686","https://openalex.org/W3046998562","https://openalex.org/W3047313329","https://openalex.org/W3049338348","https://openalex.org/W3085504358","https://openalex.org/W3095867322","https://openalex.org/W3101900901","https://openalex.org/W3103064492","https://openalex.org/W3105031020","https://openalex.org/W3105286923","https://openalex.org/W3111682033","https://openalex.org/W3112644111","https://openalex.org/W3113689553","https://openalex.org/W3118794192","https://openalex.org/W3126241812","https://openalex.org/W3129381175"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W1986096622","https://openalex.org/W2345517883","https://openalex.org/W2964105430","https://openalex.org/W4388037829","https://openalex.org/W2885084305","https://openalex.org/W4200196800","https://openalex.org/W3165245835","https://openalex.org/W2093411737","https://openalex.org/W3158513142"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}