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
- 발행연도
- 2024.4
- 수록면
- 473 - 481 (9page)
- DOI
- 10.9717/kmms.2024.27.4.473
이용수
초록· 키워드
오류제보하기
Renewable energy is currently driving innovation in the energy industry. However, the widespread distribution of renewable energy resources across various regions and the temporal variability in production pose challenges for the operation and management of virtual power plant (VPP). To address this issue, a Dynamic Virtual Power Plant (DVPP) has been proposed for the dynamic configuration of VPP. In this paper, we propose the MaxProfit Time Series Clustering for Virtual Power Plant (MTPSC-VPP) to effectively aggregate virtual power plant. We perform time series clustering based on density using the normalized Mean Absolute Error (nMAE) between actual measurements and predictions. Subsequently, we compare the proposed algorithm with non-time series and existing algorithms through experimental evaluations. The results indicate that MTPSC-VPP yields approximately 93%p higher prediction revenue compared to non-time series methods and about 15%p higher compared to existing algorithms. However, it exceeds the calculation criteria of up to 30% of reward on specific dates, suggesting directions for achieving better performance in future research.
목차
ABSTRACT
1. 서론
2. 관련 연구
3. 제안방법
4. 실험
5. 결론
REFERENCE
참고문헌 (8)
참고문헌 신청
B. Marinescu, O. Gomis-Bellmunt, F. Dörfler, H. Schulte, and L. Sigrist, “Dynamic Virtual Power Plant: A New Concept for Grid Integration of Renewable Energy Sources,” IEEE Access, Vol. 10, pp. 104980-104995, 2022.
J. MacQueen, “Some Methods for Classification and Analysis of Multivariate Observations,” Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, pp. 281-298, 1967.
K. Pearson, “Mathematical Contributions to the Theory of Evolution—On a Form of Spurious Correlation Which May Arise When Indices are Used in the Measurement of Organs,” Proceedings of the Royal Society of London, pp. 489-498, 1897.
E. Schubert, J. Sander, M. Ester, HP. Kriegel, and X. Xu, “DBSCAN Revisited: Why and How You Should (Still) Use DBSCAN,” Association for Computing Machinery Trans, Vol. 42, pp. 1-21, 2017.
S.J. Park, H.J. Kim, and S.H Kim “A Study on Solar Radiation Prediction Using Medium-Range Weather Forecasts,” Korean Journal of Applied Statistics, Vol. 36, No. 1, pp. 49-62, 2023.
J. MacQueen, “Some Methods for Classification and Analysis of Multivariate Observations,” Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, pp. 281-298, 1967.
K. Pearson, “Mathematical Contributions to the Theory of Evolution—On a Form of Spurious Correlation Which May Arise When Indices are Used in the Measurement of Organs,” Proceedings of the Royal Society of London, pp. 489-498, 1897.
E. Schubert, J. Sander, M. Ester, HP. Kriegel, and X. Xu, “DBSCAN Revisited: Why and How You Should (Still) Use DBSCAN,” Association for Computing Machinery Trans, Vol. 42, pp. 1-21, 2017.
S.J. Park, H.J. Kim, and S.H Kim “A Study on Solar Radiation Prediction Using Medium-Range Weather Forecasts,” Korean Journal of Applied Statistics, Vol. 36, No. 1, pp. 49-62, 2023.
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