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A Scheme for Reducing Load Forecast Error During Weekends Near Typhoon Hit  

Park, Jeong-Do (위덕대 에너지전기공학부)
Song, Kyung-Bin (숭실대 전기공학부)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.58, no.9, 2009 , pp. 1700-1705 More about this Journal
Abstract
In general, short term load forecasting is based on the periodical load pattern during a day or a week. Therefore, the conventional methods do not expose stable performance to every day during a year. Especially for anomalous weather conditions such as typhoons, the methods have a tendency to show the conspicuous accuracy deterioration. Furthermore, the tendency raises the reliability and stability problems of the conventional load forecast. In this study, a new load forecasting method is proposed in order to increase the accuracy of the forecast result in case of anomalous weather conditions such as typhoons. For irregular weather conditions, the sensitivity between temperature and daily load is used to improve the accuracy of the load forecast. The proposed method was tested with the actual load profiles during 14 years, which shows that the suggested scheme considerably improves the accuracy of the load forecast results.
Keywords
Load forecast; Anomalous weather conditions; Typhoon hit;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
Times Cited By SCOPUS : 0
연도 인용수 순위
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