Detailed Information

Cited 0 time in webofscience Cited 2 time in scopus
Metadata Downloads

Short-term load forecasting for the consecutive holidays considering businesses' operation rates of industries

Authors
Song, K.-B.Lim, J.-H.
Issue Date
2013
Keywords
Consecutive holidays; Load pattern; Operation rate; Short-term load forecasting
Citation
Transactions of the Korean Institute of Electrical Engineers, v.62, no.12, pp.1657 - 1660
Journal Title
Transactions of the Korean Institute of Electrical Engineers
Volume
62
Number
12
Start Page
1657
End Page
1660
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/12256
DOI
10.5370/KIEE.2013.62.12.1657
ISSN
1975-8359
Abstract
Short-term load forecasting for Chusok and New Year's consecutive holidays is very difficult, due to the irregular characteristics compared with ordinary weekdays and insufficient holidays historical data. During consecutive holidays of New Year and Chusok, most of industries reduce their operation rates and their electrical load levels. The correlation between businesses' operation rates and their loads during consecutive holidays of New Year and Chusok is analysed and short-term load forecasting algorithm for consecutive holidays considering businesses' operation rates of industries is proposed. Test results show that the proposed method improves the accuracy of short-term load forecasting over fuzzy linear regression method.
Files in This Item
Go to Link
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Song, Kyung Bin photo

Song, Kyung Bin
College of Engineering (School of Electrical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE