Accurately predicting the remaining useful life (RUL) of lithium-ion batteries is critical to the
stable operation and timely maintenance of a battery system. However, the capacity of an …

Installation of refueling facilities for electric vehicles (EVs) in the range of conventional fuel
filling stations demands huge initial investments. It also necessitates the expansion of power …

With the development of society and the continuous advancement of urbanization, motor
vehicles have increased rapidly, which exacerbates the imbalance between parking supply …

There has been a rapid increase in government efforts to expand electric vehicle markets by
deploying fast-charging stations, promoting uptake through greater investment, and by …

Buildings account for a significant portion of the global energy consumption. Forecasting
personnel occupancy is critical for reducing energy consumption in buildings. This study …

This study proposes a feedforward deep neural network to predict the parameters of the
lithium-ion battery in electric vehicles. Correlation analysis is used to select the candidate …

The accuracy of power load forecasting plays an important role in the development of the
economy and the promotion of energy consumption and transformation. Aiming at the strong …

Abstract Short-term Electric Vehicle (EV) charging demand prediction is an essential task in
the fields of smart grid and intelligent transportation systems, as understanding the …

Due to the growing threat of climate change, the world's governments have been
encouraging the adoption of Electric Vehicles (EVs). As a result, EV numbers have been …

Electric Vehicle (EV) charging demand and charging station availability forecasting is one of
the challenges in the intelligent transportation system. With accurate EV station availability …