평년기온을 기준으로한 하계 최대 전력수요예측에 관한 연구A Study on the Summer Peak Load Forecasting Based on Average Temperature
- Other Titles
- A Study on the Summer Peak Load Forecasting Based on Average Temperature
- Authors
- 박래준; 송경빈
- Issue Date
- Apr-2018
- Publisher
- 한국조명.전기설비학회
- Keywords
- Summer Peak Load; Peak Load Forecasting; Temperature Sensitivity; Multiple Regression Analysis
- Citation
- 조명.전기설비학회논문지, v.32, no.4, pp.24 - 31
- Journal Title
- 조명.전기설비학회논문지
- Volume
- 32
- Number
- 4
- Start Page
- 24
- End Page
- 31
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/31746
- DOI
- 10.5207/JIEIE.2018.32.4.024
- ISSN
- 1229-4691
- Abstract
- Summer peak load is strongly affected by temperature variability. For this reason, various forecast methods considering the characteristics of temperature change have been studied. However, research on how to deal with past peak loads at very high or low temperatures is insufficient. In order to solve this problem, the past summer peak loads are converted to the converted peak loads at the 30 years average temperature. In this paper, summer peak load forecasting algorithm using a multiple regression analysis is proposed that used for the converted summer peak load as a dependent variable and GDP, a population as independent variables. In the case study, the summer peak loads from 2013 to 2017 are forecasted used for a proposed algorithm that the improved average prediction accuracy was 97.24%.
- Files in This Item
-
Go to Link
- Appears in
Collections - College of Engineering > School of Electrical Engineering > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/31746)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.