This paper proposes a novel taxonomy of coordination strategies for distributed energy
resources at the edge of the electricity grid, based on a systematic analysis of key literature …

The adoption of electric vehicles (EVs) for personal passenger transportation in cities is
increasingly impacting our society and environment, offering benefits such as reduced …

This paper presents an investigation of the potential for coordinated charging of electric
vehicles to i) reduce the CO 2 emissions associated with their charging by selectively …

Digital technologies have the potential to make the transport system more connected,
intelligent, efficient, reliable and sustainable. That is, digital technologies could …

This paper proposes a novel scalable type of multi-agent reinforcement learning-based
coordination for distributed residential energy. Cooperating agents learn to control the …

Abstract Purpose of Review This paper highlights the main impacts of transportation and
building electrification on electricity grid infrastructure, operations, and planning. We focus …

The developments in electric vehicles (EVs) are driven by the need for cleaner and more
efficient road transport, but vehicle charging poses significant challenges to the electric grid …

This article proposes a new convex optimization strategy for coordinating electric vehicle
charging, which accounts for battery voltage rise and the associated limits on maximum …

This paper investigates the use of deep multi-agent reinforcement learning (MARL) for the
coordination of residential energy flexibility. Particularly, we focus on achieving cooperation …

This study proposes a method of coordinating electric vehicle charging to reduce losses in a
distribution system, using only knowledge of the phase that each charger is connected to …