KIEE - The Transactions of the Korean Institute of Electrical Engineers

Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers

QR CODE : The Transactions of the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

ISO Journal TitleTrans. Korean. Inst. Elect. Eng.

SCImago Journal & Country Rank

Main Menu

Journal Search

PDF INFO


Title	Electric Power Load Forecasting using Fuzzy Prediction System
Authors	방영근(Bang, Young-Keun) ; 심재선(Shim, Jae-Sun)
DOI	https://doi.org/10.5370/KIEE.2013.62.11.1590
Page	pp.1590-1597
ISSN	1975-8359
Keywords	Electric power load ; Prediction system ; Correlation-based clustering algorithm ; TSK fuzzy logic system
Abstract	Electric power is an important part in economic development. Moreover, an accurate load forecast can make a financing planning, power supply strategy and market research planned effectively. This paper used the fuzzy logic system to predict the regional electric power load. To design the fuzzy prediction system, the correlation-based clustering algorithm and TSK fuzzy model were used. Also, to improve the prediction system's capability, the moving average technique and relative increasing rate were used in the preprocessing procedure. Finally, using four regional electric power load in Taiwan, this paper verified the performance of the proposed system and demonstrated its effectiveness and usefulness.

© KIEE All right's reserved

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution and reproduction in any medium, provided the original work is property cited.