{"id":"https://openalex.org/W2095979244","doi":"https://doi.org/10.1109/ijcnn.2004.1381004","title":"A fuzzy inference neural network based method for short-term load forecasting","display_name":"A fuzzy inference neural network based method for short-term load forecasting","publication_year":2005,"publication_date":"2005-01-31","ids":{"openalex":"https://openalex.org/W2095979244","doi":"https://doi.org/10.1109/ijcnn.2004.1381004","mag":"2095979244"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1381004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1381004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-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/A5071021361","display_name":"Hatsumi Mori","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"H. Mori","raw_affiliation_strings":["Dept. of Electrical and Electronics Eng., Meiji University Tama-ku Kawasaki, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Electronics Eng., Meiji University Tama-ku Kawasaki, Kawasaki, Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020833713","display_name":"Tadahiro Itagaki","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Itagaki","raw_affiliation_strings":["Dept. of Electrical and Electronics Eng., Meiji University Tama-ku Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Electronics Eng., Meiji University Tama-ku Kawasaki, Japan","institution_ids":["https://openalex.org/I16656306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071021361"],"corresponding_institution_ids":["https://openalex.org/I16656306"],"apc_list":null,"apc_paid":null,"fwci":0.7114,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74110801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"2403","last_page":"2406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998000264167786,"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":0.9998000264167786,"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":0.996399998664856,"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/T14392","display_name":"Geoscience and Mining Technology","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/artificial-neural-network","display_name":"Artificial neural network","score":0.71710205078125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6915888786315918},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6642170548439026},{"id":"https://openalex.org/keywords/electrical-load","display_name":"Electrical load","score":0.5936559438705444},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5555235147476196},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.5507293343544006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5419512391090393},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5049145817756653},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.496811181306839},{"id":"https://openalex.org/keywords/fuzzy-inference","display_name":"Fuzzy inference","score":0.4918806552886963},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.483934223651886},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.471721351146698},{"id":"https://openalex.org/keywords/fuzzy-inference-system","display_name":"Fuzzy inference system","score":0.46399685740470886},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.45051848888397217},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4185314178466797},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4132988452911377},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4078344702720642},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4051908254623413},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14457622170448303}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.71710205078125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6915888786315918},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6642170548439026},{"id":"https://openalex.org/C77715397","wikidata":"https://www.wikidata.org/wiki/Q931447","display_name":"Electrical load","level":3,"score":0.5936559438705444},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5555235147476196},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.5507293343544006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5419512391090393},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5049145817756653},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.496811181306839},{"id":"https://openalex.org/C2986395286","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy inference","level":5,"score":0.4918806552886963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.483934223651886},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.471721351146698},{"id":"https://openalex.org/C2987376176","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy inference system","level":5,"score":0.46399685740470886},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.45051848888397217},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4185314178466797},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4132988452911377},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4078344702720642},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4051908254623413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14457622170448303},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":1,"locations":[{"id":"doi:10.1109/ijcnn.2004.1381004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1381004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1676500486","https://openalex.org/W1679913846","https://openalex.org/W2043752325","https://openalex.org/W2053675238","https://openalex.org/W2067576900","https://openalex.org/W2076768098","https://openalex.org/W2120169555","https://openalex.org/W2123745713","https://openalex.org/W2126152171","https://openalex.org/W2127821906","https://openalex.org/W2144724566","https://openalex.org/W2158442843","https://openalex.org/W2164108127","https://openalex.org/W2166270823","https://openalex.org/W2175429883","https://openalex.org/W2537895447","https://openalex.org/W2691158273","https://openalex.org/W3023259230","https://openalex.org/W3189909352","https://openalex.org/W3190219644","https://openalex.org/W4213332169","https://openalex.org/W6677799766","https://openalex.org/W6739883372","https://openalex.org/W6799072952"],"related_works":["https://openalex.org/W2181415496","https://openalex.org/W3199050383","https://openalex.org/W4322732584","https://openalex.org/W2477660228","https://openalex.org/W2922721683","https://openalex.org/W2943069943","https://openalex.org/W2382941854","https://openalex.org/W2889574165","https://openalex.org/W2219483656","https://openalex.org/W2735794055"],"abstract_inverted_index":{"This":[0],"work":[1],"proposes":[2],"a":[3],"fuzzy":[4,32],"inference":[5],"neural":[6],"network":[7],"(FINN)":[8],"based":[9],"method":[10,81],"for":[11,99],"short-term":[12],"load":[13,90,105],"forecasting":[14,106],"in":[15,107],"electric":[16,108],"power":[17,109],"systems.":[18,110],"FINN":[19,42,60],"focuses":[20],"on":[21],"the":[22,31,39,46,51,55,66,73,76,94],"classification":[23,40,56],"of":[24,45,57,64,68,75,102],"input":[25,58,69],"and":[26,29,35],"output":[27,77],"variables":[28,70],"optimizes":[30],"membership":[33],"function":[34],"consequence":[36],"parameter.":[37],"As":[38],"technique,":[41],"makes":[43],"use":[44],"Kohonen":[47],"self-organization":[48],"map.":[49],"Unlike":[50],"conventional":[52],"methods":[53],"with":[54],"variables,":[59],"has":[61],"better":[62],"performance":[63],"extracting":[65],"features":[67],"due":[71],"to":[72,85],"addition":[74],"variable.":[78],"The":[79],"proposed":[80],"is":[82,97],"successfully":[83],"applied":[84],"one-step":[86],"ahead":[87],"daily":[88,103],"maximum":[89,104],"forecasting.":[91],"To":[92],"demonstrate":[93],"effectiveness,":[95],"it":[96],"tested":[98],"real":[100],"data":[101]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}