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Intrusion Detection in SCADA Based Power Grids: Recursive Feature Elimination Model With Majority Vote Ensemble Algorithm.

, , , and . IEEE Trans. Netw. Sci. Eng., 8 (3): 2559-2574 (2021)

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Comparative Analysis of Tabular Generative Adversarial Network (GAN) Models for Generation and Validation of Power Grid Synthetic Datasets., , , , and . EUROCON, page 677-682. IEEE, (2023)Predicting Wind Energy Generation with Recurrent Neural Networks., , and . IDEAL (1), volume 11314 of Lecture Notes in Computer Science, page 89-98. Springer, (2018)Go with the Flow: Recurrent Networks for Wind Time Series Multi-Step Forecasting., , and . CCIA, volume 308 of Frontiers in Artificial Intelligence and Applications, page 79-83. IOS Press, (2018)Intrusion Detection in SCADA Based Power Grids: Recursive Feature Elimination Model With Majority Vote Ensemble Algorithm., , , and . IEEE Trans. Netw. Sci. Eng., 8 (3): 2559-2574 (2021)Wind Prediction Using Deep Learning and High Performance Computing., , and . CARLA, volume 1540 of Communications in Computer and Information Science, page 193-207. Springer, (2021)Deep learning architectures applied to wind time series multi-step forecasting.. Polytechnic University of Catalonia, Spain, (2020)