Patricia Sanchez, a National Weather Service meteorologist at the Fort Worth office, said the most reliable model is ...

Accurate and efficient operational risk prediction is critical for modern power systems facing dynamic unit commitment and renewable integration. Existing machine learning and deep learning approaches ...

Abstract: This paper investigates the neural network-based event-triggered attack-compensation control problem of T-S fuzzy systems in the presence of actuator attacks. In order to enhance the ...