{"id":"https://openalex.org/W4400418766","doi":"https://doi.org/10.1007/s40747-024-01534-9","title":"A granularity data method for power frequency electric and electromagnetic fields forecasting based on T\u2013S fuzzy model","display_name":"A granularity data method for power frequency electric and electromagnetic fields forecasting based on T\u2013S fuzzy model","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4400418766","doi":"https://doi.org/10.1007/s40747-024-01534-9"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01534-9","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-024-01534-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01534-9.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01534-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063500226","display_name":"Peng Nie","orcid":"https://orcid.org/0000-0002-5359-4004"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Nie","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou, 311200, Zhejiang, People\u2019s Republic of China","Hangzhou Institute of Technology, Xidian University, Hangzhou, 311200, Zhejiang, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, 311200, Zhejiang, People\u2019s Republic of China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, 311200, Zhejiang, People's Republic of China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068246000","display_name":"Qiang Yu","orcid":"https://orcid.org/0000-0001-8316-3849"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]},{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Yu","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou, 311200, Zhejiang, People\u2019s Republic of China","Hangzhou Institute of Technology, Xidian University, Hangzhou, 311200, Zhejiang, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, 311200, Zhejiang, People\u2019s Republic of China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, 311200, Zhejiang, People's Republic of China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005698720","display_name":"Zhenkun Li","orcid":"https://orcid.org/0000-0002-6512-4528"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenkun Li","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou, 311200, Zhejiang, People\u2019s Republic of China","Hangzhou Institute of Technology, Xidian University, Hangzhou, 311200, Zhejiang, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, 311200, Zhejiang, People\u2019s Republic of China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, 311200, Zhejiang, People's Republic of China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017698164","display_name":"Xiguo Yuan","orcid":"https://orcid.org/0000-0002-0822-5189"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiguo Yuan","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou, 311200, Zhejiang, People\u2019s Republic of China","Hangzhou Institute of Technology, Xidian University, Hangzhou, 311200, Zhejiang, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, 311200, Zhejiang, People\u2019s Republic of China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, 311200, Zhejiang, People's Republic of China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063500226"],"corresponding_institution_ids":["https://openalex.org/I149594827","https://openalex.org/I55712492"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.2158,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50129098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"10","issue":"5","first_page":"7199","last_page":"7211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9815999865531921,"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":0.9815999865531921,"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/T14369","display_name":"Diverse Interdisciplinary Research Innovations","score":0.9531999826431274,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.946399986743927,"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/support-vector-machine","display_name":"Support vector machine","score":0.647524893283844},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5299861431121826},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.44093915820121765},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42781245708465576},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3968636691570282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36016637086868286},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35932067036628723}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.647524893283844},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5299861431121826},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.44093915820121765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42781245708465576},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3968636691570282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36016637086868286},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35932067036628723},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01534-9","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-024-01534-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01534-9.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:de1062b320494b4dafec70b240775c50","is_oa":true,"landing_page_url":"https://doaj.org/article/de1062b320494b4dafec70b240775c50","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":"Complex & Intelligent Systems, Vol 10, Iss 5, Pp 7199-7211 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01534-9","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-024-01534-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01534-9.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400418766.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1893024529","https://openalex.org/W1965668174","https://openalex.org/W1968082616","https://openalex.org/W1970104171","https://openalex.org/W1997151153","https://openalex.org/W1999938662","https://openalex.org/W2011834513","https://openalex.org/W2044143761","https://openalex.org/W2061634812","https://openalex.org/W2069929199","https://openalex.org/W2070865291","https://openalex.org/W2079325629","https://openalex.org/W2082878049","https://openalex.org/W2090571851","https://openalex.org/W2095679991","https://openalex.org/W2108060394","https://openalex.org/W2131264606","https://openalex.org/W2134255651","https://openalex.org/W2142756706","https://openalex.org/W2170851227","https://openalex.org/W2171527822","https://openalex.org/W2503957022","https://openalex.org/W2562985521","https://openalex.org/W2794182015","https://openalex.org/W2888884717","https://openalex.org/W2895841491","https://openalex.org/W2941845923","https://openalex.org/W2952783399","https://openalex.org/W2977280727","https://openalex.org/W2987710576","https://openalex.org/W3029242071","https://openalex.org/W3033196270","https://openalex.org/W3093118519","https://openalex.org/W3107742999","https://openalex.org/W3197957427","https://openalex.org/W4210572937","https://openalex.org/W4225131036","https://openalex.org/W4226089314","https://openalex.org/W4245152641","https://openalex.org/W4245167505","https://openalex.org/W4280589156"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2053286651"],"abstract_inverted_index":{"Abstract":[0],"The":[1,126],"impact":[2],"of":[3,19,35,95,105,128,131,139,155,164,200],"electromagnetic":[4,101,187],"radiation":[5],"generated":[6],"by":[7,72],"signal":[8],"transmission":[9],"base":[10],"stations":[11,14],"and":[12,22,33,37,79,100,115,149,161,191,210],"power":[13,96,215],"to":[15,91],"meet":[16],"the":[17,26,73,76,80,84,93,129,132,156,186,201,214],"needs":[18],"communication":[20],"equipment":[21],"energy":[23],"consumption":[24],"on":[25,56,185,213],"environment":[27],"has":[28],"caused":[29],"people":[30],"concerns.":[31],"Monitoring":[32],"prediction":[34,117,124],"electric":[36,98,217],"magnetic":[38],"fields":[39],"have":[40,112],"become":[41],"critical":[42],"tasks":[43],"for":[44],"researchers.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49],"propose":[50],"a":[51,88,162],"granularity":[52],"data":[53,85],"method":[54],"based":[55],"T\u2013S":[57],"(Takagi\u2013Sugeno)":[58],"fuzzy":[59,62,109,133],"model,":[60,64,158,160,203,205,207],"named":[61],"rule-based":[63,110,134],"which":[65],"utilizing":[66],"finite":[67],"rules":[68],"that":[69,108,154,199],"are":[70],"determined":[71],"deviations":[74],"between":[75],"predicted":[77],"values":[78,82],"true":[81],"after":[83],"goes":[86],"through":[87],"granulation-degranulation":[89],"mechanism,":[90],"predict":[92],"intensity":[94],"frequency":[97,216],"field":[99,188,218],"field.":[102],"A":[103],"series":[104],"experiments":[106],"show":[107],"models":[111],"better":[113],"robustness":[114],"higher":[116],"accuracy":[118],"in":[119,137,151],"comparison":[120,152],"with":[121,153,169],"several":[122],"existing":[123],"models.":[125],"improvement":[127],"performance":[130],"model":[135,168,209,212],"quantified":[136],"terms":[138],"Root":[140],"Mean":[141],"Squared":[142],"Error":[143],"is":[144],"20.86%,":[145],"51.91%,":[146],"62.28%,":[147],"65.10%,":[148],"71.92%":[150],"Ridge":[157,202],"Lasso":[159,204],"family":[163],"support":[165],"vector":[166],"machine":[167],"different":[170],"kernel":[171,175,182],"functions,":[172],"including":[173],"linear":[174],"(SVM-linear),":[176],"radial":[177],"basis":[178],"function":[179],"(SVM-BRF),":[180],"polynomial":[181],"(SVM-polynomial)":[183],"respectively,":[184],"testing":[189,219],"data,":[190],"37.42%,":[192],"55.16%,":[193],"58.79%,":[194],"59.28%,":[195],"64.27%":[196],"lower":[197],"than":[198],"SVM-linear":[206],"SVM-BRF":[208],"SVM-polynomial":[211],"data.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}
