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.

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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
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article

Analysis Of Aggregated Residential EV Charging Trends at The Local Level

Mahmoud Alahmad, Ahmad Almaghrebi, Kevin James, Fares Aljuheshi
1 citations
Electric Vehicles and Infrastructure
0.21
article

Analysis Of Aggregated Residential EV Charging Trends at The Local Level

Mahmoud Alahmad, Ahmad Almaghrebi, Kevin James, Fares Aljuheshi
article en
1 citations

Abstract

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.

University of Nebraska–Lincoln (US)
Sustainable cities and communities
Openalex Percentile: Top 43%
Electric Vehicles and Infrastructure
0.21
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Analysis Of Aggregated Residential EV Charging Trends at The Local Level — Mahmoud Alahmad, Ahmad Almaghrebi, et al. · (2024) | TGRS Research Map | TGRS