Inertia is a measure of a power system's capability to counteract frequency disturbances: in
conventional power networks, inertia is approximately constant over time, which contributes …

Carbon neutrality goals are driving the increased use of renewable energy (RE). Large-
scale use of RE requires accurate energy generation forecasts; optimized power dispatch …

The increasing deployment of renewable energy sources (RESs) reduces the inertia levels
of modern power systems, raising frequency stability issues. Therefore, it becomes crucial …

Federated learning (FL) is an efficient decentralized machine learning methodology for
processing nonindependent and identically distributed (non-IID) data due to geographical …

Abstract The Internet of Vehicles (IoV) is an interactive network providing intelligent traffic
management, intelligent dynamic information service, and intelligent vehicle control to …

The progressive substitution of conventional synchronous generation for renewable-based
generation imposes a series of challenges in many aspects of modern power systems …

Self-sustained microgrid (MG) carries the potential to replicate a conventional grid network
with a smooth and robust control scheme to generate and disseminate power with the …

The increasing integration of variable renewable energy resources through power
electronics has brought about substantial changes in the structure and dynamics of modern …

Short-term forecasting of multienergy loads is of paramount significance for integrated
energy systems operation. The central forecasting framework is confronted with the privacy …

With the increasing penetration level of renewable energy resources with less system
inertia, accurate estimation of the power system inertia has become a critical issue for …