Transportation electrification is one of the main research areas for the past decade. Electric
vehicles (EVs) are taking over the market share of conventional internal combustion engine …

The field of electric vehicle charging load modelling has been growing rapidly in the last
decade. In light of the Paris Agreement, it is crucial to keep encouraging better modelling …

Electric vehicle (EV) has become one of the most critical components in the smart grid with
the applications of the Internet-of-Things (IoT) technologies. Real-time charging control is …

Demand response (DR) becomes critical to manage the charging load of a growing electric
vehicle (EV) deployment. Initial DR studies mainly adopt model predictive control, but …

Since most branches of the distribution grid may already be close to their maximum capacity,
smart management when charging electric vehicles (EVs) is becoming more and more …

As climate change and environmental concerns have become increasingly pressing issues,
electric vehicles (EVs) have emerged as a viable and environmentally-friendly alternative to …

This paper proposes a reinforcement learning approach for nightly offline rebalancing
operations in free-floating electric vehicle sharing systems (FFEVSS). Due to sparse …

Improving the efficiency of renewable energy and electricity utilization is an urgent problem
for China under the objectives of carbon peaking and carbon neutralization. This paper …

The development of electric vehicles (EV) is a major lever towards low-carbon transport. It
comes with a growing number of charging infrastructures that can be used as flexible assets …

Through many recent successes in simulation and real-world projects, reinforcement
learning (RL) has emerged as a promising approach for demand response applications …