지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.8 No.5
- 발행연도
- 2013.9
- 수록면
- 984 - 990 (7page)
이용수
초록· 키워드
오류제보하기
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.
목차
Abstract
1. Introduction
2. An Innovative Application Method of Monthly Load Forecasting
3. Load Forecasting Algorithm with RLS Estimation Based on Regression Model
4. Case Study
5. Conclusion
References
참고문헌 (14)
참고문헌 신청
1. [단행본] - James A. Momoh / 2007 / Electric Power Distribution, Automation, Protection, And Control / CRC Press : 289 ~
2. [단행본] - Joe H. Chow / 2005 / Momoh, Applied mathematics for restructured electric power systems: optimization, control, and computational intelligence / Springer : 269 ~ 280
3. [학술지(정기간행물)] - F. J. Marín. / 1997 / Short-Term Peak Load Forecasting : Statistical Methods versus Artificial Neural Networks / Biological and Artificial Computation : From Neuroscience to Technology Lecture Notes in Computer Science 1240 : 1334 ~ 1343
4. [학술대회논문] - H. Daneshi / 2008 / Real Time Load Forecast in Power System / Electric Utility Deregulation andRestructuring and Power Technologies, 2008. DRPT2008. Third International Conference on
5. [학술대회논문] - Dong C. Park. / 1991 / Artificial Neural Network Based Electric Peak Load Forecasting / in IEEE Proceedings of SOUTHEASTCON ’91 (Cat. No.91CH2998-3)
2. [단행본] - Joe H. Chow / 2005 / Momoh, Applied mathematics for restructured electric power systems: optimization, control, and computational intelligence / Springer : 269 ~ 280
3. [학술지(정기간행물)] - F. J. Marín. / 1997 / Short-Term Peak Load Forecasting : Statistical Methods versus Artificial Neural Networks / Biological and Artificial Computation : From Neuroscience to Technology Lecture Notes in Computer Science 1240 : 1334 ~ 1343
4. [학술대회논문] - H. Daneshi / 2008 / Real Time Load Forecast in Power System / Electric Utility Deregulation andRestructuring and Power Technologies, 2008. DRPT2008. Third International Conference on
5. [학술대회논문] - Dong C. Park. / 1991 / Artificial Neural Network Based Electric Peak Load Forecasting / in IEEE Proceedings of SOUTHEASTCON ’91 (Cat. No.91CH2998-3)
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