文章基本信息

标题：Application of Interval Type-2 Fuzzy Logic System in Short Term Load Forecasting on Special Days
其他标题：Application of Interval Type-2 Fuzzy Logic System in Short Term Load Forecasting on Special Days
本地全文：下载
作者：Agus Dharma ; Imam Robandi ; Mauridhi Hery Purnomo 等
期刊名称：Majalah Iptek = IPTEK : The Journal for Technology and Science
印刷版ISSN：0853-4098
电子版ISSN：2088-2033
出版年度：2011
卷号：22
期号：2
DOI：10.12962/j20882033.v22i2.65
语种：English
出版社：IPTEK
摘要：This paper presents the application of Interval Type-2 fuzzy logic systems (Interval Type-2 FLS) in short term load forecasting (STLF) on special days, study case in Bali Indonesia. Type-2 FLS is characterized by a concept called footprint of uncertainty (FOU) that provides the extra mathematical dimension that equips Type-2 FLS with the potential to outperform their Type-1 counterparts. While a Type-2 FLS has the capability to model more complex relationships, the output of a Type-2 fuzzy inference engine needs to be type-reduced. Type reduction is used by applying the Karnik-Mendel (KM) iterative algorithm. This type reduction maps the output of Type-2 FSs into Type-1 FSs then the defuzzification with centroid method converts that Type-1 reduced FSs into a number. The proposed method was tested with the actual load data of special days using 4 days peak load before special days and at the time of special day for the year 2002-2006. There are 20 items of special days in Bali that are used to be forecasted in the year 2005 and 2006 respectively. The test results showed an accurate forecasting with the mean average percentage error of 1.0335% and 1.5683% in the year 2005 and 2006 respectively.
关键词：STLF; interval type-2 FLS; Karnik–Mendel (KM) algorithm