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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems 제14권 제3호
- 발행연도
- 2015.9
- 수록면
- 318 - 324 (7page)
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초록· 키워드
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This paper proposes a dynamic short-term load forecasting method that utilizes a new sequential learning algorithm based on Relevance Vector Machine (RVM). The method performs general optimization of weights and hyperparameters using the current relevance vectors and newly arriving data. By doing so, the proposed algorithm is trained with the most recent data. Consequently, it extends the RVM algorithm to real-time and nonstationary learning processes. The results of application of the proposed algorithm to prediction of electrical loads indicate that its accuracy is comparable to that of existing nonparametric learning algorithms. Further, the proposed model reduces computational complexity.
목차
ABSTRACT
1. INTRODUCTION
2. METHODOLOGY
3. NUMERICAL EXAMPLE
4. CONCLUSION
REFERENCES
참고문헌 (20)
참고문헌 신청
[학술지(정기간행물)] - Al-Hamadi, H. M / 2004 / Short-term electric load forecasting based on Kalman filtering algorithm with moving window weather and load model / Electric, Power Syst. Res 68 (1) : 47 ~ 59
[학술지(정기간행물)] - Amjady, N / 2009 / Short term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm / Energy 34 : 46 ~ 57
[학술지(정기간행물)] - Bashir, Z. A / 2009 / Applying wavelets to short-term load forecasting using PSObased neural networks / IEEE Trans. Power Syst. 24 : 20 ~ 27
[학술지(정기간행물)] - Benaouda, D. / 2006 / Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting / Neurocomputing 70 : 139 ~ 154
[학술지(정기간행물)] - Che, J. / 2012 / An adaptive fuzzy combination model based on self-organizing map and support vector regression for electric load forecasting / Energy 37 (1) : 657 ~ 664
[학술지(정기간행물)] - Amjady, N / 2009 / Short term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm / Energy 34 : 46 ~ 57
[학술지(정기간행물)] - Bashir, Z. A / 2009 / Applying wavelets to short-term load forecasting using PSObased neural networks / IEEE Trans. Power Syst. 24 : 20 ~ 27
[학술지(정기간행물)] - Benaouda, D. / 2006 / Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting / Neurocomputing 70 : 139 ~ 154
[학술지(정기간행물)] - Che, J. / 2012 / An adaptive fuzzy combination model based on self-organizing map and support vector regression for electric load forecasting / Energy 37 (1) : 657 ~ 664
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