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Master uncertainty with Python Monte Carlo magic

Monte Carlo simulations transform uncertainty into measurable insights by running thousands of randomized scenarios. With Python’s robust libraries—NumPy, SciPy, pandas—you can model complex systems, ...
IEEE

Personalized Federated Learning-Based Distributed Model Predictive Control With Predictive Error Compensation for Nonlinear Networked Systems

Abstract: This paper develops a personalized federated learning-based distributed model predictive control (PFL-DMPC) method with predictive error compensation (PEC ...
IEEE

Model-and-Data-Driven Adaptive Frequency Control for Microgrid Systems

Abstract: This paper proposes a novel model-and-data-driven adaptive frequency control (MDAFC) for microgrid (MG) systems. The proposed MDAFC includes two control loops, i.e., an adaptive model ...