[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5370/JEET.2013.8.5.984

An Innovative Application Method of Monthly Load Forecasting for Smart IEDs

Choi, Myeon-Song (Dept. of Electrical Engineering, Myongji University)
Xiang, Ling (Dept. of Electrical Engineering, Myongji University)
Lee, Seung-Jae (Dept. of Electrical Engineering, Myongji University)
Kim, Tae-Wan (Dept. of Electrical Engineering, Myongji University)

Publication Information

Journal of Electrical Engineering and Technology / v.8, no.5, 2013 , pp. 984-990 More about this Journal

Abstract

This paper develops a new Intelligent Electronic Device (IED), and then presents an application method of a monthly load forecasting algorithm on the smart IEDs. A Multiple Linear Regression (MLR) model implemented with Recursive Least Square (RLS) estimation is established in the algorithm. Case Study proves the accuracy and reliability of this algorithm and demonstrates the practical meanings through designed screens. The application method shows the general way to make use of IED's smart characteristics and thereby reveals a broad prospect of smart function realization in application.

Keywords

Monthly load forecasting; Multiple linear regression; Recursive least squares; IED;

Citations & Related Records

Reference

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