With high penetration of renewable generation and distributed energy resources, distribution
systems are facing new operational challenges due to their intermittency and uncertainty. To …

With the continuous development of smart grid and further restructuring of power industry,
modern power systems have been transformed to complex cyber-physical systems …

Electric vehicles (EVs) have been popularly adopted and deployed over the past few years
because they are environment-friendly. When integrated into smart grids, EVs can operate …

Driven by the recent advances in electric vehicle (EV) technologies, EVs have become
important for smart grid economy. When EVs participate in demand response program which …

The power grid is rapidly transforming, and while recent grid innovations increased the
utilization of advanced control methods, the next-generation grid demands technologies that …

In order to coordinate the scheduling problem between an isolated microgrid (IMG) and
electric vehicle battery swap** stations (BSSs) in multi-stakeholder scenarios, a new bi …

With the increasingly widespread of advanced metering infrastructure, electric load
clustering is becoming more essential for its great potential in analytics of consumers' …

The problem of customizing electricity retail prices using data mining techniques is studied
in this paper. The density-based spatial clustering of applications with noise is first applied to …

We study the scheduling of large-scale electric vehicle (EV) charging in a power distribution
network under random renewable generation and electricity prices. The problem is …

Tariff reforms in electricity markets is becoming an area of active evaluation as efforts
intensify to decarbonize electricity generation, stabilize the power grid, and maximize the …