This paper reviews approaches for facilitating the integration of small-scale distributed
energy resources (DER) into low-and medium-voltage networks, in the context of the …

Virtual Power Plants (VPPs) have emerged as a modern real-time energy management
architecture that seeks to synergistically coordinate an aggregation of renewable and non …

We propose offline and online scheduling algorithms for the charging of electric vehicles
(EVs) in a single charging station (CS). The station has available cheaper, but limited …

A transition to electric vehicles (EVs) is widely assumed to be an important step along the
road to environmental sustainability. However, large‐scale adoption of EVs may put …

This paper presents a robust optimization-based decision-making tool for the daily and
weekly self-scheduling of Virtual Power Plants (VPPs) in the uncertain environment of …

Within a medium-term market horizon, this research work provides a methodology that
allows a commercial virtual power plant (CVPP) to form an optimal coalition of …

A virtual power plant takes advantage of interactive communication and energy
management systems to optimize and coordinate the dispatch of distributed generation …

Multi-agent reinforcement learning (MARL) is a widely researched technique for
decentralised control in complex large-scale autonomous systems. Such systems often …

We develop an online mechanism for the allocation of an expiring resource to a dynamic
agent population. Each agent has a non-increasing marginal valuation function for the …

Renewable energy has achieved high penetration rates in many areas, leading to
curtailment, especially if existing network infrastructure is insufficient and energy generated …