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http://dx.doi.org/10.5370/KIEE.2015.64.7.1088

Design of Electric Power Load Forecasting Model based on IT2TSK FLS  

Bang, Young-Keun (Dept. of Electrical Engineering, Kangwon National University)
Shim, Jae-Sun (Dept. of Electrical Engineering, Kangwon National University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.64, no.7, 2015 , pp. 1088-1095 More about this Journal
Abstract
In most cases, the use of electric power is associated with the economic scale of a nation closely. Thus, the electric power load forecasting plays an important role for the national economic plan. This paper deals with the design method for the electric power load forecasting system. In this paper, RCR-MA data processing, which can make the complex properties of the original data form simple, is proposed. Next, IT2TSK FLS, which can reflect the uncertainty of data more than T1TSK FLS, is applied. Consequently, the structural advantage of the proposed system can improve the forecasting accuracy, and is verified by using two types of electric power data.
Keywords
Electric power load forecasting; RCR-MA; T1TSK FLS; IT2TSK FLS;
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