{"id":"https://openalex.org/W2119944000","doi":"https://doi.org/10.1109/fuzzy.2008.4630690","title":"Multivariate inputs for electrical load forecasting on hybrid neuro-fuzzy and fuzzy C-Means forecaster","display_name":"Multivariate inputs for electrical load forecasting on hybrid neuro-fuzzy and fuzzy C-Means forecaster","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2119944000","doi":"https://doi.org/10.1109/fuzzy.2008.4630690","mag":"2119944000"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2008.4630690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","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/A5003196881","display_name":"Felix Pasila","orcid":"https://orcid.org/0000-0001-6034-9448"},"institutions":[{"id":"https://openalex.org/I114202661","display_name":"Petra Christian University","ror":"https://ror.org/045e97x26","country_code":"ID","type":"education","lineage":["https://openalex.org/I114202661"]},{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE","ID"],"is_corresponding":true,"raw_author_name":"Felix Pasila","raw_affiliation_strings":["Bremen University, Germany","Electrical Engineering Department, Petra Christian University, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Bremen University, Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"Electrical Engineering Department, Petra Christian University, Surabaya, Indonesia","institution_ids":["https://openalex.org/I114202661"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003196881"],"corresponding_institution_ids":["https://openalex.org/I114202661","https://openalex.org/I180437899"],"apc_list":null,"apc_paid":null,"fwci":2.2882,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89971389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"2307","last_page":"2312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991000294685364,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9983000159263611,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6684244871139526},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.6431918144226074},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6274620294570923},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5991624593734741},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.512549638748169},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4568813741207123},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.452095091342926},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.44605356454849243},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.44571802020072937},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40269601345062256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3762969672679901},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2779548764228821},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18080765008926392},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11729130148887634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6684244871139526},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.6431918144226074},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6274620294570923},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5991624593734741},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.512549638748169},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4568813741207123},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.452095091342926},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.44605356454849243},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.44571802020072937},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40269601345062256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3762969672679901},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2779548764228821},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18080765008926392},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11729130148887634},{"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/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/fuzzy.2008.4630690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319684","display_name":"University of Petra","ror":"https://ror.org/039d9es10"},{"id":"https://openalex.org/F4320320875","display_name":"Deutscher Akademischer Austauschdienst","ror":"https://ror.org/039djdh30"},{"id":"https://openalex.org/F4320329481","display_name":"Universitas Kristen Petra","ror":"https://ror.org/045e97x26"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1496557148","https://openalex.org/W2019207321","https://openalex.org/W2123696440","https://openalex.org/W2137820384","https://openalex.org/W2145479133","https://openalex.org/W2546060498","https://openalex.org/W2620691827","https://openalex.org/W6739286168"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W4390961098","https://openalex.org/W2102148524","https://openalex.org/W2804364458","https://openalex.org/W1991765889","https://openalex.org/W1990068454","https://openalex.org/W3207109968","https://openalex.org/W2133615482","https://openalex.org/W829773823","https://openalex.org/W2937114745"],"abstract_inverted_index":{"Multivariate":[0],"inputs":[1,15],"play":[2],"important":[3],"role":[4],"in":[5,18,80],"system":[6],"with":[7,31,40],"many":[8],"dependent":[9],"variables.":[10],"By":[11],"using":[12,65],"some":[13],"different":[14],"as":[16,94],"input":[17,48],"neuro-fuzzy":[19,38,73],"networks,":[20],"complex":[21],"nonlinear":[22],"model":[23],"can":[24,55,85],"be":[25,29,56],"modeled":[26],"and":[27],"also":[28],"forecasted":[30],"better":[32],"results.":[33],"This":[34],"paper":[35],"describes":[36],"a":[37],"approach":[39],"additional":[41],"fuzzy":[42],"C-means":[43],"clustering":[44],"method":[45],"before":[46],"the":[47,50,53,66,81,87,91,95,102,109],"entering":[49],"networks.":[51],"Afterwards,":[52],"network":[54],"used":[57],"to":[58,101],"efficiently":[59],"forecast":[60],"electrical":[61],"load":[62],"competition":[63],"data":[64],"Takagi-Sugeno":[67],"(TS)":[68],"type":[69],"multi-input":[70],"single-output":[71],"(MISO)":[72],"network.":[74],"The":[75],"training":[76],"algorithm":[77,112],"is":[78],"efficient":[79],"sense":[82],"that":[83],"it":[84],"bring":[86],"performance":[88],"index":[89],"of":[90],"network,":[92],"such":[93],"sum":[96],"squared":[97],"error":[98,104],"(SSE),":[99],"down":[100],"desired":[103],"goal":[105],"much":[106],"faster":[107],"than":[108],"simple":[110],"Levenberg-Marquardt":[111],"(LMA).":[113]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}