With the rapid growth of electric vehicles (EVs) and the widespread deployment of charging
infrastructure, the analysis of vehicle to grid (V2G) integration on the security and stability of …

The increasing adoption of electric vehicles has introduced challenges in maintaining grid
stability, energy efficiency, and economic optimization. Advanced control strategies are …

The uncoordinated charging and discharging behavior of electric vehicles (EVs) will affect
the economy and reliability of the industrial microgrid (IMG). Demand response (DR) …

Accurate load forecasting plays a crucial role in the optimal scheduling of electric
vehicles'(EVs) coordinated charging. Although many load forecasting methods have …

In this study, we delved deeply into the intelligent control technology of electrical
pressurization, utilizing a fuzzy neural network-based PID approach. By meticulously crafting …

This study addresses the optimization difficulties created by the combination of distributed
generation (DG) and charging stations (CS), with the key difference that charging stations …

With the rapid development of smart grid technology, in-depth research on intelligent data-
driven monitoring and status evaluation mechanisms for distribution networks and …

The proposed scheduling architecture is divided into two phases: a day-ahead phase and a
real-time phase. The purpose of this is to coordinate the resources on the power generation …