Yuan-cheng Li

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Dynamic State Estimation (DSE) for power system considers statistical characters of systemic state variables in past period, has functions of state estimation and forecasting. This paper proposes a new method for state estimation problem in power systems based on Kernel Principle Component Analysis (KPCA) and Support Vector Regression (SVR). Firstly, the(More)
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