Oct 19, 2017 · In this paper, we propose a robust state estimation framework to address the unknown non-Gaussian noise and the measurement time skewness issue.
Abstract—In practical applications like power systems, the distribution of the measurement noise is usually unknown and frequently deviates from the assumed ...
Oct 22, 2024 · In this paper, we propose a robust state estimation framework to address the unknown non-Gaussian noise and the measurement time skewness issue.
In this chapter, we propose a robust state estimation framework to address the unknown non‐Gaussian noise and the measurement time skewness issue. In the ...
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A Framework for Robust Hybrid State Estimation With Unknown Measurement Noise Statistics Not Available. Check How to Get It.
Dec 10, 2020 · In this chapter, we propose a robust state estimation framework to address the unknown non-Gaussian noise and the measurement time skewness issue.
Mili, "A framework for robust hybrid state estimation with unknown measurement noise statistics," IEEE Trans. Industrial Informatics, vol. 14, no. 5, pp ...
Mili, "A Framework for Robust Hybrid State Estimation with Unknown Measurement Noise Statistics," IEEE Trans. Industrial Informatics, vol. 14, no. 5, pp ...
The main goal of SE is to assign a value to unknown system state variables (voltage magnitude and angle of buses) based on available measurements, and it can be ...
Mili, “A Framework for Robust Hybrid State Estimation with Unknown Measurement Noise Statistics,” IEEE Trans. Industrial Informatics, vol. 14, no. 5, pp ...