Accurate power demand prediction of electrical vehicles (EVs) is crucial to power grid
operation. To fully utilize the existing knowledge of EVs' power demand and further improve …

Automated metering Infrastructure (AMI) is an integral part of a smart grid. Employing the
data collected by the AMI from the consumers to generate accurate electricity consumption …

Reliable and accurate estimation of an electric bus's instantaneous energy consumption is
critical in evaluating energy impacts of planning and control of electric bus operations. In this …

To improve the design of the electricity infrastructure and the efficient deployment of
distributed and renewable energy sources, a new paradigm for the energy supply chain is …

This study aims to build an interpretable energy model for urban buses considering
powertrain types to serve bus operators with minimal variables and simple structure, in …

To improve the energy efficiency of hybrid electric city buses, a hierarchical predictive
energy management strategy (HP-EMS) based on driver behavior and type is proposed in …

Accurate prediction of electricity consumption is essential for providing actionable insights to
decision-makers for managing volume and potential trends in future energy consumption for …

Transport electrification, which entails replacing fossil fuel-powered engines with electric
drivetrains through the use of electric vehicles (EVs), has been identified as a potential …

Short-term vehicle speed prediction is an essential part of Intelligent Transportation Systems
(ITS), which influences the critical parameter for high-level energy management of electric …

The forecast of electricity demand in recent years is becoming increasingly relevant because
of market deregulation and the introduction of renewable resources. To meet the emerging …