Electric vehicles (EVs) are an eco-friendly alternative to vehicles with internal combustion
engines. Despite their environmental benefits, the massive electricity demand imposed by …

The electric unmanned aerial vehicles (UAVs) are rapidly growing due to their abilities to
perform some difficult or dangerous tasks as well as many public services including real …

In the future smart grids, it is important for prosumers to manage uncertainties from
distributed renewable energy sources such as photovoltaic (PV) generation. As a type of …

This paper proposes a framework and its mathematical model for optimal routing and
charging of an electric vehicle fleet for high-efficiency dynamic transit systems, while taking …

New energy sources such as solar energy and hydrogen energy have been applied to the
Unmanned Aerial Vehicle (UAV), which could be formed as the hybrid power sources due to …

In this paper, a two-stage optimal charging scheme based on transactive control is proposed
for the aggregator to manage day-ahead electricity procurement and real-time electric …

Based on assumptions of bounded rationality and limited information, the evolutionary game
theory (EGT) can well describe evolution rule of population behaviors and predict …

Since its early development in the 1950s, artificial intelligence (AI) has been studied to
mimic the function of human brains in solving science and engineering problems. Despite …

Reliability assessment tools are of crucial importance for planning and modernisation of
distribution power systems. In recent years there has been an increased deployment of …

Uncoordinated adoption of plug-in electric vehicles (PEVs) imposes further load on the
distribution network, and therefore may result in disruptive impacts on the grid. Transactive …