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湖南大学 [3]
长春光学精密机械与物... [1]
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会议论文 [1]
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Holographic Ensemble Forecasting Method for Short-Term Power Load
期刊论文
IEEE Transactions on Smart Grid, 2019, 卷号: Vol.10 No.1, 页码: 425-434
作者:
Mo Zhou
;
Min Jin
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浏览/下载:4/0
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提交时间:2019/12/13
Forecasting
Load modeling
Predictive models
Training
Load forecasting
Load management
Correlation
Short-term load forecasting
holographic ensemble forecasting method
multi-source data
diversity sampling
multiple heterogeneous models
online second learning
Holographic Ensemble Forecasting Method for Short-Term Power Load
期刊论文
IEEE TRANSACTIONS ON SMART GRID, 2019, 卷号: Vol.10 No.1, 页码: 425-434
作者:
Zhou, M
;
Jin, M
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浏览/下载:10/0
  |  
提交时间:2019/12/17
Short-term load forecasting
holographic ensemble forecasting method
multi-source data
diversity sampling
multiple heterogeneous models
online second learning
Holographic Ensemble Forecasting Method for Short-Term Power Load
期刊论文
IEEE Transactions on Smart Grid, 2017, 页码: 1
作者:
Zhou, Mo
;
Jin, Min
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浏览/下载:3/0
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提交时间:2019/12/31
Short-term load forecasting
holographic ensemble forecasting method
multi-source data
diversity sampling
multiple heterogeneous models
online second learning.
Heterogeneous architecture-based software reliability estimation: Case study (EI CONFERENCE)
会议论文
3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008, November 11, 2008 - November 13, 2008, Busan, Korea, Republic of
Wei Y.
;
Shen X.-H.
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提交时间:2013/03/25
With growing system complication
multiple structures are constructed in software
instead of single architecture style. As a result
the traditional architecture-based models that have considered only homogeneous software behaviors are not suitable to the complex system. In this paper a heterogeneous architecture-based model is presented. In order to verify the practicability
we apply the model to estimate the system reliability of the astronautics payload communication and monitoring system (APCMS). Multiple structures are constructed in the system
i.e.
sequence
parallel and fault-tolerance. The study results demonstrate that the model is accurate when compared to the actual reliability. Theoretical research must be applied on actual systems to understand their applicability and accuracy. 2008 IEEE.
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