Paper on Data-driven Joint Voltage Stability Assessment is accepted by IEEE Trans. Power Systems.

Paper “Data-Driven Joint Voltage Stability Assessment Considering Load Uncertainty: A Variational Bayes Inference Integrated with Multi-CNNs” is accepted by IEEE Transactions on Power Systems. This paper proposes an approach to combine multiple convolutional neural networks (multi-CNNs) to assess the transient and steady-state voltage stability of power systems.

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Di Shi
Associate Professor of Electrical and Computer Engineering