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Found 5 papers, 0 papers with code
Transferable Deep Learning Power System Short-Term Voltage Stability Assessment with Physics-Informed Topological Feature Engineering
In particular, the highest accuracy reaches 99. 68\% in evaluation, which demonstrates a good knowledge transfer ability of the proposed model for power grid topology change.
Optimal Inter-area Oscillation Damping Control: A Transfer Deep Reinforcement Learning Approach with Switching Control Strategy
Wide-area damping control for inter-area oscillation (IAO) is critical to modern power systems.
Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural Network
Transient stability prediction is critically essential to the fast online assessment and maintaining the stable operation in power systems.
Hyperbolic Multiplex Network Embedding with Maps of Random Walk
To incorporate the common features between channels while preserving unique features, a random walk approach which traversing in latent multiplex hyperbolic space is proposed to detect the community across channels and bridge the connection between node embedding and community detection.
Arena Model: Inference About Competitions
Furthermore, the authors identify an invariant Bayes estimator with regard to the prior distribution and prove the consistency of the estimations of uncertainty.
