The trend of global energy systems towards carbon neutrality has led to an escalating
interdependency between electricity, hydrogen fuel, and transportation networks. However …

High-resolution probabilistic load forecasting can comprehensively characterize both the
uncertainties and the dynamic trends of the future load. Such information is key to the …

With the increasing number of plug-in electric vehicles (PEV) power demand management
without increasing existing facilities is becoming challenging. To address the issue two …

The increasingly popular electric vehicles (EVs) are changing the control paradigm of the
power grid due to their uncoordinated charging behaviors. However, if well coordinated …

The smart grid benefits and suffers from smart meter data. Proper use of massive data can
improve energy services but may raise privacy concerns. For example, user energy …

This paper studies the spatial-temporal scheduling for electric vehicles with stochastic
charging behaviors. A new spatial-temporal scheduling model is proposed to achieve both …

Abstract The proliferation of Electric Vehicles (EVs) creates new challenges for EV Charging
Station Operators (CSOs) due to the increasing charging demand, but also opportunities to …

This paper concentrates on the pricing design in electric vehicle (EV) platoon charging
networks with hybrid traffic flows, where there exist different sizes of EV platoons, and …

EV charging scheduling is a fundamental problem for charging infrastructure management
as EVs impose both challenges and opportunities on the power grid. The primary difficulty …

This paper presents a novel menu-based pricing strategy tailored for electric vehicle (EV)
charging within the context of a mobile charging service (MCS), aiming to maximize social …