Generative AI techniques, such as Generative Adversarial Networks (GANs), Variational
Autoencoders (VAEs), and transformers, have revolutionized consumer behavior prediction …

Ever-increasing penetration of distributed energy resources (DERs) in the power grids,
alongside their numerous benefits, brings new challenges that call for enhanced solutions in …

Modern distribution systems and microgrids must deal with high levels of uncertainty in their
planning and operation. These uncertainties are mainly due to variations in loads and …

This paper addresses the problem of distributed energy management in multi-area
integrated energy systems (MA-IES) using a multi-agent deep reinforcement learning …

Aiming at the problems of low optimization accuracy, poor optimization effect, and long
running time in current teaching optimization algorithms, a multiclass interactive martial arts …

When it comes to realizing a safe, efficient, and dependable power supply. More lately, there
has been a rise in the use of data-driven methods for modeling electric vehicle (EV) …

Optimal power flow (OPF) is the important decision-making model in operating the power
system. The improvement of the OPF solution quality can provide huge technical and …

This work proposes a hierarchical control framework for the day-ahead scheduling of
distribution networks (DNs). In the proposed framework, the set points of the network …

With the increasing penetration of Distributed Energy Resources (DERs) at the grid-edge,
power systems include more energy storage, remote switches, relays, voltage regulators …

This dissertation proposes a novel control methodology for voltage (V PCC) and frequency
(ω) control at the Point of Common Coupling (PCC) while controlling the active power (P) …