Integration of distributed generation and renewable energy resources in contemporary power systems necessitates sophisticated control techniques to maintain efficiency and stability. Adaptive fuzzy control (AFC) mechanisms introduce a smart methodology for handling uncertainty and variability in virtual power plants (VPPs) and smart grids. AFC improves immunity against voltage and frequency fluctuations through dynamic adaptation of control parameters as per real-time grid conditions. This strategy allows for effective load balancing, demand response, and fault tolerance, minimizing power losses and enhancing overall energy efficiency. AFC uses fuzzy logic concepts to make decisions in real... More >

The widespread uptake of the Internet of Medical Things (IoMT) has transformed healthcare by facilitating real-time monitoring and data-driven decision-making, but maintaining data privacy and security is a vital challenge because data breaches and unauthorized access are on the rise. Differential Privacy (DP) and Federated Meta-Learning (FML) are being seen as promising candidates to tackle these issues with the model performance maintained, wherein DP adds noise to sensitive data in a controlled manner for rigorous privacy assurance, and FML allows for personalized learning across distributed IoMT devices without the need for patient data centralization. This survey delves into the combina... More >