To mitigate global warming and energy shortage, integration of renewable energy
generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been …

In the so near future, climate change caused by Carbon dioxide (CO 2) emissions as a result
of an increase in energy demand (ED) in the buildings sector becomes really hazard to our …

The trend of zero-carbonization has accelerated the prevalence of electric vehicles (EVs)
owing to their advantages of low carbon emissions and high energy efficiency. The …

Reinforcement Learning for EV charging optimization has gained significant academic
attention in recent years, due to its ability to handle uncertainty, non-linearity, and real-time …

The increasing reliance on renewable energy sources poses challenges in managing the
grid, necessitating a focus on energy efficiency and grid stability for a smooth energy …

Though electricity access remains out of reach for roughly one billion primarily rural and low-
income people, crucial strides have been made in developing new pathways for connecting …

In recent years, several optimization techniques have been proposed for electric vehicle
(EV) charging scheduling. A common approach to intelligent scheduling is day-ahead …

A major challenge in todays power grid is to manage the increasing load from electric
vehicle (EV) charging. Demand response (DR) solutions aim to exploit flexibility therein, ie …

The transportation sector significantly contributes to greenhouse gas (GHG) emissions.
Electrifying transportation removes the direct dependency on fossil fuels and eliminates …

Abstract Sub-Saharan Africa continues to aggressively pursue universal electricity access to
drive economic development, improved health, literacy, food security, and gender equality …