Wide-scale adoption and projected growth of electric vehicles (EVs) necessitate research
and development of power electronic converters to achieve high power, low-cost, and …

Abstract Machine learning (ML) and deep learning (DL) have enabled algorithms to
autonomously acquire knowledge from data, facilitating predictive and decision-making …

The transportation sector accounts for a significant share of greenhouse gas emissions.
Hence, the electrification of this sector is a crucial contributor to the mitigation of global …

Smart cities attempt to reach net-zero emissions goals by reducing wasted energy while
improving grid stability and meeting service demand. This is possible by adopting next …

Electric vehicle (EV) penetration is accelerating in an unprecedented way, but the
insufficient charging infrastructure to cover all locations hinders the improvement of the EV …

With the fast development of electrifications of vehicles, EV charging stations are booming in
coming years. Meanwhile, the growing demand for charging power, and the stochastic …

The increasing electric vehicle (EV) adoption in the context of transportation electrification
and carbon neutrality pursuit brings both new challenges and opportunities for all the …

The spatial–temporal distribution of electric vehicle (EV) charging load has strong
randomness and is affected by battery capacity and user behavior. In addition, the multinode …

As the smart city applications are moving from conceptual models to development phase,
smart transportation is one of smart cities applications and it is gaining ground nowadays …

The development of distributed renewable energy, such as photovoltaic power and wind
power generation, makes the energy system cleaner, and is of great significance in reducing …