Abstract
There is no question to the fact that electric vehicles (EVs) are the most viable solution to the climate change that the planet has long been combating. Along the same line, it is a salient subject to expand the availability of charging infrastructure, which quintessentially necessitates the optimization of the charger's locations. This paper proposes to formulate the optimal EV charger location problem into a facility location problem (FLP). As an effort to find an efficient method to solve the well-known nonpolynomial deterministic (NP)-hard problem, we present a comparative quantification among several representative solving techniques.
| Original language | English |
|---|---|
| Title of host publication | 2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350317664 |
| ISBN (Print) | 9798350317664 |
| DOIs | |
| State | Published - Jul 24 2024 |
| Event | 2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024 - Chicago, United States Duration: Jun 19 2024 → Jun 21 2024 |
Publication series
| Name | 2024 IEEE Transportation Electrification Conference and Expo (ITEC) |
|---|
Conference
| Conference | 2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024 |
|---|---|
| Country/Territory | United States |
| City | Chicago |
| Period | 06/19/24 → 06/21/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Scopus Subject Areas
- Energy Engineering and Power Technology
- Automotive Engineering
- Electrical and Electronic Engineering
- Mechanical Engineering
- Control and Optimization
- Modeling and Simulation
- Transportation
Keywords
- Electric vehicle (EV) charging
- Facility location problem (FLP)
- Integer program; Optimization solvers
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