Scalable probabilistic estimates of electric vehicle charging given observed driver behavior

S Powell, GV Cezar, R Rajagopal - Applied Energy, 2022 - Elsevier
To prepare for rapid growth in global electric vehicle adoption, grid and policy planners
depend on detailed forecasts of future charging demand. In this paper we propose a novel …

Artificial deep neural network enables one-size-fits-all electric vehicle user behavior prediction framework

A Ahmadian, V Ghodrati, R Gadh - Applied Energy, 2023 - Elsevier
As greener mobility becomes the norm with the advent of electric vehicles (EVs), a natural
question arises: how big of a change are we seeing in terms of the stochastic energy …

Charging station cluster load prediction: Spatiotemporal multi-graph fusion technology

T **e, X Yun, G Zhang, H Li, K Zhang… - … and Sustainable Energy …, 2024 - Elsevier
In recent years, single-station charging load prediction technology for electric vehicles has
gradually matured, but there are few prediction studies at the charging station cluster level …

The risk of dissolution of sustainable innovation ecosystems in times of crisis: The electric vehicle during the COVID-19 pandemic

M Arribas-Ibar, PA Nylund, A Brem - Sustainability, 2021 - mdpi.com
Innovation ecosystems evolve and adapt to crises, but what are the factors that stimulate
ecosystem growth in spite of dire circumstances? We study the arduous path forward of the …

[HTML][HTML] Planning charging stations for 2050 to support flexible electric vehicle demand considering individual mobility patterns

J Wu, S Powell, Y Xu, R Rajagopal… - Cell Reports …, 2024 - cell.com
With the widespread adoption of electric vehicles (EVs), it is crucial to plan for charging in a
way that considers both EV driver behavior and the electricity grid's demand. Here, we …

Battery versus infrastructure: Tradeoffs between battery capacity and charging infrastructure for plug-in hybrid electric vehicles

J Wenig, M Sodenkamp, T Staake - Applied Energy, 2019 - Elsevier
Battery systems and charging infrastructures are essential, cost intense, and partly
interchangeable building blocks of electric mobility. Although both building blocks are …

Large-scale scenarios of electric vehicle charging with a data-driven model of control

S Powell, GV Cezar, E Apostolaki-Iosifidou… - Energy, 2022 - Elsevier
Transportation electrification is forecast to bring millions of new electric vehicles to roads
worldwide this decade. Planning to support those vehicles depends on detailed scenarios of …

[HTML][HTML] A novel two-phase location analytics model for determining operating station locations of emerging air taxi services

AA Sinha, S Rajendran - Decision Analytics Journal, 2022 - Elsevier
Air taxi is a new and emerging form of urban air mobility (UAM) for reducing traffic
congestion in metropolitan cities by providing on-demand aviation services to millions of …

The identification of mobility types on a national level

AL Hauslbauer, J Schade, T Petzoldt - Transport Policy, 2022 - Elsevier
Current transport systems are not sufficiently sustainable and equitable, making the
development of effective interventions indispensable. An intervention's effectiveness …

Understanding Consumer Adoption of Light-Duty Electric Vehicles: An Interdisciplinary Literature Review

J Dcosta, ARH Graul… - Transportation Research …, 2024 - journals.sagepub.com
The present paper focuses on the adoption of light-duty electric vehicles (EVs),
encompassing a comprehensive review and summary analysis of the existing research in …