Forecasting Power Quality Events Using Advanced Fuzzy Time Series
João Luis Reis e Silva1; Adriano Chaves Lisboa1; Rodney Rezende Saldanha1
1 Universidade Federal de Minas Gerais
Resumo
This paper proposes the study of advanced fuzzy time series to forecast power quality events for an industrial power system. Power quality events predictions makes significantly influence to the availability and reliability of an electrical system. The standards reliability models usually used to predict stochastically these events are mathematical and statistical complex and the use of fuzzy time series brings new fields to reduce this complexity and time processing.
Palavras-chave: Power Quality Events; Power Quality Indices; Fuzzy Time Series; Forecasting Models; Reliability Theory