Real‐time stability assessment in smart cyber‐physical grids: a deep learning approach
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Hadis Karimipour | Kim-Kwang Raymond Choo | Ali Dehghantanha | Farnaz Derakhshan | Amirreza Jafari | Farzad Baghal Darbandi | A. Dehghantanha | A. Jafari | H. Karimipour | F. Derakhshan | Kim-Kwang Raymond Choo | F. Darbandi
[1] Rui Zhang,et al. Post-disturbance transient stability assessment of power systems by a self-adaptive intelligent system , 2015 .
[2] Hadis Karimipour,et al. Robust Massively Parallel Dynamic State Estimation of Power Systems Against Cyber-Attack , 2018, IEEE Access.
[3] Rong Yan,et al. Fast Transient Stability Batch Assessment Using Cascaded Convolutional Neural Networks , 2019, IEEE Transactions on Power Systems.
[4] David J. Hill,et al. Intelligent Time-Adaptive Transient Stability Assessment System , 2016, IEEE Transactions on Power Systems.
[5] Mohammad Reza Aghamohammadi,et al. DT based intelligent predictor for out of step condition of generator by using PMU data , 2018 .
[6] Qunying Liu,et al. XGBoost-Based Algorithm Interpretation and Application on Post-Fault Transient Stability Status Prediction of Power System , 2019, IEEE Access.
[7] Ali Dehghantanha,et al. DRTHIS: Deep ransomware threat hunting and intelligence system at the fog layer , 2019, Future Gener. Comput. Syst..
[8] Venkata Dinavahi,et al. Extended Kalman filter-based parallel dynamic state estimation , 2015, 2016 IEEE Power and Energy Society General Meeting (PESGM).
[9] Henry Leung,et al. A Deep and Scalable Unsupervised Machine Learning System for Cyber-Attack Detection in Large-Scale Smart Grids , 2019, IEEE Access.
[10] M.A. El-Sharkawi,et al. Support vector machines for transient stability analysis of large-scale power systems , 2004, IEEE Transactions on Power Systems.
[11] Geza Joos,et al. On the Accuracy Versus Transparency Trade-Off of Data-Mining Models for Fast-Response PMU-Based Catastrophe Predictors , 2012, IEEE Transactions on Smart Grid.
[12] Gurunath Gurrala,et al. An Online Power System Stability Monitoring System Using Convolutional Neural Networks , 2019, IEEE Transactions on Power Systems.
[13] Juri Jatskevich,et al. A Multi-Decomposition Approach for Accelerated Time-Domain Simulation of Transient Stability Problems , 2015, IEEE Transactions on Power Systems.
[14] Xinyu Yang,et al. Toward a Gaussian-Mixture Model-Based Detection Scheme Against Data Integrity Attacks in the Smart Grid , 2017, IEEE Internet Things J..
[15] Arturo S. Bretas,et al. A Distributed Control Approach for Enhancing Smart Grid Transient Stability and Resilience , 2017, IEEE Transactions on Smart Grid.
[16] Ujjaval J. Patel,et al. Distance Relaying with Power Swing Detection based on Voltage and Reactive Power Sensitivity , 2015 .
[17] Sayyed Mohammad Hashemi,et al. Current-Based Out-of-Step Detection Method to Enhance Line Differential Protection , 2019, IEEE Transactions on Power Delivery.
[18] Ratna Babu Chinnam,et al. mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification , 2011, Inf. Sci..
[19] Ali Dehghantanha,et al. A deep Recurrent Neural Network based approach for Internet of Things malware threat hunting , 2018, Future Gener. Comput. Syst..
[20] Ming Yang,et al. Model-Free MLE Estimation for Online Rotor Angle Stability Assessment With PMU Data , 2017, IEEE Transactions on Power Systems.
[21] Xinyu Yang,et al. Toward Data Integrity Attacks Against Optimal Power Flow in Smart Grid , 2017, IEEE Internet of Things Journal.
[22] Bereket Tanju,et al. A Machine Learning Decision-Support System Improves the Internet of Things’ Smart Meter Operations , 2017, IEEE Internet of Things Journal.
[23] Mohammad Reza Aghamohammadi,et al. Intelligent Out of Step Predictor for Inter Area Oscillations Using Speed-Acceleration Criterion as a Time Matching for Controlled Islanding , 2018, IEEE Transactions on Smart Grid.