Analysis Of Aggregated Residential EV Charging Trends at The Local Level
Using data from Omaha, Nebraska, this conference paper examines the aggregate impacts and predictability of residential electric vehicle (EV) charging behavior in a local area. The study highlights patterns in collective charging behavior by examining temporal patterns in total energy demand and simultaneous connections to charging infrastructure. This analysis informs decision-making on energy infrastructure, load management, charge scheduling, and urban planning, contributing valuable knowledge to integrating EVs into existing energy frameworks. The dataset tracks a fixed number of regularly charging users over a year to identify trends scalable to future penetration levels. Both the average demand and variability are analyzed across various timeframes to assess the stability and predictability of residential charging.
Authors
- Mahmoud Alahmad (ORCID: https://orcid.org/0000-0002-3417-5592)
- Ahmad Almaghrebi (ORCID: https://orcid.org/0000-0002-0446-4182)
- Kevin James (ORCID: https://orcid.org/0000-0002-9145-1135)
- Fares Aljuheshi
Institutions
- University of Nebraska–Lincoln (US)
Publication Details
- Published
- 2024-11-03
- DOI
- https://doi.org/10.1109/iecon55916.2024.10906038
- Citations
- 1
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.21