{"id":"https://openalex.org/W2785935768","doi":"https://doi.org/10.1109/la-cci.2017.8285726","title":"Advanced fuzzy time series applied to short term load forecasting","display_name":"Advanced fuzzy time series applied to short term load forecasting","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2785935768","doi":"https://doi.org/10.1109/la-cci.2017.8285726","mag":"2785935768"},"language":"en","primary_location":{"id":"doi:10.1109/la-cci.2017.8285726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci.2017.8285726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","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/A5035389259","display_name":"Guilherme Costa Carvalho Silva","orcid":"https://orcid.org/0000-0001-5123-1333"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Guilherme Costa Silva","raw_affiliation_strings":["Graduate Program in Electrical Engineering - Federal university of Minas Gerais (PPGEE-UFMG), Belo Horizonte, MG, Brasil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Electrical Engineering - Federal university of Minas Gerais (PPGEE-UFMG), Belo Horizonte, MG, Brasil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040726698","display_name":"Joao L. R. Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Joao L. R. Silva","raw_affiliation_strings":["Graduate Program in Electrical Engineering - Federal university of Minas Gerais (PPGEE-UFMG) Av. Ant\u00f4nio Carlos 6627, 31270-901, Belo Horizonte, MG, Brasil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Electrical Engineering - Federal university of Minas Gerais (PPGEE-UFMG) Av. Ant\u00f4nio Carlos 6627, 31270-901, Belo Horizonte, MG, Brasil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090388296","display_name":"Adriano C. Lisboa","orcid":"https://orcid.org/0000-0001-5773-2200"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adriano C. Lisboa","raw_affiliation_strings":["Gaia Solutions on Demand Rua Professor Jose Vieira Mendonca, Belo Horizonte, MG, Brasil"],"affiliations":[{"raw_affiliation_string":"Gaia Solutions on Demand Rua Professor Jose Vieira Mendonca, Belo Horizonte, MG, Brasil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043994210","display_name":"D.A.G. Vieira","orcid":"https://orcid.org/0000-0001-6288-2086"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Douglas A. G. Vieira","raw_affiliation_strings":["ENACOM Handcrafted Technologies Rua Professor Jose Vieira Mendonca, Belo Horizonte, MG, Brasil"],"affiliations":[{"raw_affiliation_string":"ENACOM Handcrafted Technologies Rua Professor Jose Vieira Mendonca, Belo Horizonte, MG, Brasil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102817944","display_name":"R.R. Saldanha","orcid":"https://orcid.org/0000-0002-2811-8372"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rodney R. Saldanha","raw_affiliation_strings":["Department of Electrical Engineering - Federal university of Minas Gerais (DEE-UFMG), Belo Horizonte, MG, Brasil"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering - Federal university of Minas Gerais (DEE-UFMG), Belo Horizonte, MG, Brasil","institution_ids":["https://openalex.org/I110200422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035389259"],"corresponding_institution_ids":["https://openalex.org/I110200422"],"apc_list":null,"apc_paid":null,"fwci":1.4334,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.83659733,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9991999864578247,"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":0.9991999864578247,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9991000294685364,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6962355375289917},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6941481828689575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.657670259475708},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.644123911857605},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6250919699668884},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5904151201248169},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.5108170509338379},{"id":"https://openalex.org/keywords/electrical-load","display_name":"Electrical load","score":0.4282826781272888},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4268597960472107},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24858158826828003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22999632358551025},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.197519451379776}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6962355375289917},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6941481828689575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.657670259475708},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.644123911857605},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6250919699668884},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5904151201248169},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.5108170509338379},{"id":"https://openalex.org/C77715397","wikidata":"https://www.wikidata.org/wiki/Q931447","display_name":"Electrical load","level":3,"score":0.4282826781272888},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4268597960472107},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24858158826828003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22999632358551025},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.197519451379776},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/la-cci.2017.8285726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci.2017.8285726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1061624838","https://openalex.org/W1711412747","https://openalex.org/W1720804347","https://openalex.org/W1966131159","https://openalex.org/W1971869067","https://openalex.org/W1993199337","https://openalex.org/W1993503008","https://openalex.org/W2012902256","https://openalex.org/W2017954768","https://openalex.org/W2067576900","https://openalex.org/W2075811533","https://openalex.org/W2085752583","https://openalex.org/W2106595237","https://openalex.org/W2168577773","https://openalex.org/W2214106063","https://openalex.org/W2292129691","https://openalex.org/W2332475955","https://openalex.org/W2515078008","https://openalex.org/W2528071769","https://openalex.org/W2588469384","https://openalex.org/W2915590605","https://openalex.org/W6610602179"],"related_works":["https://openalex.org/W2374901194","https://openalex.org/W3147033875","https://openalex.org/W2033512842","https://openalex.org/W2764722704","https://openalex.org/W2013081562","https://openalex.org/W4310605270","https://openalex.org/W2094872385","https://openalex.org/W2350981707","https://openalex.org/W2378907452","https://openalex.org/W2364262767"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"the":[3,34,61,64,77],"application":[4],"of":[5,19,38,60],"advanced":[6],"fuzzy":[7,47],"time":[8,48],"series":[9,49],"in":[10,51,63],"order":[11,52],"to":[12,25,53,76],"provide":[13,54],"short-term":[14],"load":[15],"forecasting,":[16],"which":[17],"consists":[18],"predicting":[20],"future":[21],"demands":[22],"from":[23],"up":[24],"a":[26],"week.":[27],"An":[28],"accurate":[29],"forecast":[30,59],"can":[31],"influence":[32],"significantly":[33],"availability":[35],"and":[36,57],"reliability":[37],"electrical":[39],"systems.":[40],"In":[41],"this":[42],"work,":[43],"we":[44],"tested":[45],"different":[46],"algorithms":[50],"hourly,":[55],"daily":[56],"weekly":[58],"demand":[62],"Polish":[65],"Electric":[66],"System.":[67],"The":[68],"presented":[69],"methods":[70],"have":[71],"achieved":[72],"some":[73],"interesting":[74],"results":[75],"problem.":[78]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}