Volt-VAR control is critical to keeping distribution network voltages within allowable range,
minimizing losses, and reducing wear and tear of voltage regulating devices. To deal with …

The deployment of virtual power plants (VPPs) with electric vehicles (EVs) is crucial for the
successful integration of renewable energy sources and efficient management of EV …

Model-based reinforcement learning (MBRL) is believed to have much higher sample
efficiency compared with model-free algorithms by learning a predictive model of the …

Rapid progress in machine learning and artificial intelligence (AI) has brought renewed
attention to its applicability in power systems for modern forms of control that help integrate …

Intelligent energy management in renewable-based power distribution applications, such as
microgrids, smart grids, smart buildings, and EV systems, is becoming increasingly important …

The complexity of modern power grids keeps increasing due to the expansion of renewable
energy resources and the requirement of fast demand responses, which results in a great …

Smart grids are the developmental trend of power systems and they have attracted much
attention all over the world. Due to their complexities, and the uncertainty of the smart grid …

The smart grid paradigm and the development of smart meters have led to the availability of
large volumes of data. This data is expected to assist in power system planning/operation …

We demonstrate that multi-agent reinforcement learning (RL) controllers can cooperate to
provide more effective load shaping in a model-free, decentralized, and scalable way with …

The reinforcement learning (RL) control approach with application to power electronics
systems has become an emerging topic, while the sim-to-real issue remains a challenging …