Investigating the Spatiotemporal Charging Demand and Travel Behavior of Electric Vehicles Using GPS Data: A Machine Learning Approach

no code implementations • 28 Feb 2022 • Sina Baghali, Zhaomiao Guo, Samiul Hasan

The increasing market penetration of electric vehicles (EVs) may change the travel behavior of drivers and pose a significant electricity demand on the power system.

Analyzing the Travel and Charging Behavior of Electric Vehicles -- A Data-driven Approach

no code implementations • 11 Jun 2021 • Sina Baghali, Samiul Hasan, Zhaomiao Guo

The increasing market penetration of electric vehicles (EVs) may pose significant electricity demand on power systems.

BIG-bench Machine Learning

Impacts of Privately Owned Electric Vehicles on Distribution System Resilience: A Multi-agent Optimization Approach

no code implementations • 9 May 2021 • Sina Baghali, Zhaomiao Guo

We investigate the effects of private electric vehicles (EVs) on the resilience of distribution systems after disruptions.

Decision Making

A Stochastic Multi-Agent Optimization Framework for Interdependent Transportation and Power System Analyses

no code implementations • 4 Jan 2021 • Zhaomiao Guo, Fatima Afifah, Junjian Qi, Sina Baghali

We study the interdependence between transportation and power systems considering decentralized renewable generators and electric vehicles (EVs).

Optimization and Control