This work presents a two-layer decentralized charging approach (TLDCA) based on fuzzy
data fusion concerning the economic and power layers for optimizing the charging cost of …

In this paper, battery electric vehicle (BEV) controllers are smartly tuned with particle swarm
optimization (PSO) and genetic algorithm (GA) to ensure good speed regulation. Intelligent …

The electric vehicles (EVs) charging stations (CSs) at public premises have higher
installation and power consumption costs. The potential benefits of public CSs rely on their …

The charging of electric vehicles (EVs) at residential premises is orchestrated through either
centralized or decentralized control mechanisms. The former emphasizes adherence to …

The conventional power flow formulation is based on a single slack bus model, which may
not necessarily provide accurate values for minimum generation cost and minimum power …

Electric vehicles (EVs) play a pivotal role in fostering sustainable societies, industries, and
economies. By curbing greenhouse gas emissions, enhancing air quality, and promoting …

Cloud computing provides a ubiquitous data storage and access mechanism for
organizations, industries, and smart grids to facilitate their operations. However, the concern …

Sažetak This paper demonstrates an experimental attempt to prototype electric vehicle
charging station's (EVCS) decision-making unit, using artificial neural network (ANN) …

Transportation electrification can significantly reduce carbon footprint and accelerate the
modernization of aging electric infrastructure. In the US, the growing adoption of electric …

Electric vehicles are positioned to become an appealing alternative to conventional
vehicles. When electric vehicle charging stations are integrated into the distribution system …