IEEE

A Data-Driven Cyber–Physical System Using Deep-Learning Convolutional Neural Networks: Study on False-Data Injection Attacks in an Unmanned Ground Vehicle Under Fault ...

Abstract: Leveraging the benefits of deep-learning convolutional neural networks, we introduce a new data-driven cyber–physical system specifically designed to address the vulnerability of middleware ...
IEEE

Data Augmentation for Data-Driven Methods in Power System Operation: A Novel Framework Using Improved GAN and Transfer Learning

Abstract: Power system dispatching and operation rely on massive operation data, especially for data-driven methods. However, power systems often face challenges with insufficient or imbalanced data, ...