The increasing drive towards eco-friendly environment motivates the generation of energy
from renewable energy sources (RESs). The rising share of RESs in power generation …

Abstract Recently, Federated Learning (FL) has been explored as a new paradigm that
preserves both data privacy and end-users knowledge while reducing latency during model …

Edge intelligence (EI) is an emerging interdiscipline to advance the coordination of artificial
intelligence and edge computing. EI sinks the computation and decision-making process …

To fully consider the complementary role of different energy sources and reduce the
curtailment of renewable energy (RE) in high RE penetration systems, a hierarchical …

Distribution networks are commonly used to demonstrate low-voltage problems. A new
method to improve voltage quality is using battery energy storage stations (BESSs), which …

Next-generation power grids will likely enable concurrent service for residences and plug-in
electric vehicles (PEVs). While the residence power demand profile is known and thus can …

For the islanded dc microgrids, the photovoltaic (PV) generators and storages are the main
components to provide power and maintain the system stability. To avoid the dc bus voltage …

Renewable energy integration is an effective measure to resolve environmental problems
and implement sustainable development, yet the volatility of wind and solar generation has …

With the emergence of a large number of computation-intensive and time-sensitive
applications, smart terminal devices with limited resources can only run the model training …

We explore the integration of large-scale, grid-level energy storage into wholesale electricity
markets. We conduct a comparative analysis on three natural market mechanisms that have …