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Integrating Hierarchical Clustering and Pareto-Efficiency to Preventive Controls Selection in Voltage Stability Assessment.

, , , and . EMO (2), volume 9019 of Lecture Notes in Computer Science, page 487-497. Springer, (2015)

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Determine groups of preventive controls for a set of critical contingencies in voltage stability., , , and . ISCAS, page 2652-2655. IEEE, (2014)Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos., , , , , and . CVPR, page 11996-12004. Computer Vision Foundation / IEEE, (2019)Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection., , , , , , and . ICCV, page 1705-1714. IEEE, (2019)A Hierarchical Network Simplification via Non-Negative Matrix Factorization., , , , , and . SIBGRAPI, page 119-126. IEEE Computer Society, (2017)Integrating Hierarchical Clustering and Pareto-Efficiency to Preventive Controls Selection in Voltage Stability Assessment., , , and . EMO (2), volume 9019 of Lecture Notes in Computer Science, page 487-497. Springer, (2015)Loss Switching Fusion with Similarity Search for Video Classification., , and . ICIP, page 974-978. IEEE, (2019)Identifying groups of preventive controls for a set of critical contingencies in the context of voltage stability., , , and . ISCAS, page 453-456. IEEE, (2013)Bayer digestion maintenance optimisation with lazy constraints and Benders decomposition., , , , , , , and . Ann. Oper. Res., 338 (1): 269-302 (July 2024)