Applied Case of IoT and Generative AI Integration in an Electric Vehicle Charging Station

Electricity consumption is one of the main causes of climate change. Therefore, it is necessary to develop solutions that allow its use to be optimized. To this end, a prototype of a system for the efficient distribution of electric vehicle (EV) charging was developed, using Internet of Things (IoT) technologies, integrating sensors through a scalable infrastructure. The solution also addresses the challenge of reducing global transport emissions, which represent 13% of total emissions, and anticipates future technological advances, such as the adoption of autonomous vehicles. This platform not only responds to current energy needs, but also offers competitive advantages in the global market, contributing significantly to the fulfillment of the United Nations Sustainable Development Goal 7: Affordable and clean energy. The results present the feasibility of using it in a real system, contributing to global energy efficiency.

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Publication Details

Published
2024-11-27
DOI
https://doi.org/10.1109/ihtc61819.2024.10855050
Citations
1
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.21
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article

Applied Case of IoT and Generative AI Integration in an Electric Vehicle Charging Station

Antonio Carlos Bento, Carlos Alberto Lopez-Alvarez, Johanna Rodriguez-Jaramillo, Juan Carlos Díaz-Bautista et al.
1 citations
Electric Vehicles and Infrastructure
0.21
article

Applied Case of IoT and Generative AI Integration in an Electric Vehicle Charging Station

Antonio Carlos Bento, Carlos Alberto Lopez-Alvarez, Johanna Rodriguez-Jaramillo, Juan Carlos Díaz-Bautista, Katherine Vanegas-Salamanca
article en
1 citations

Abstract

Electricity consumption is one of the main causes of climate change. Therefore, it is necessary to develop solutions that allow its use to be optimized. To this end, a prototype of a system for the efficient distribution of electric vehicle (EV) charging was developed, using Internet of Things (IoT) technologies, integrating sensors through a scalable infrastructure. The solution also addresses the challenge of reducing global transport emissions, which represent 13% of total emissions, and anticipates future technological advances, such as the adoption of autonomous vehicles. This platform not only responds to current energy needs, but also offers competitive advantages in the global market, contributing significantly to the fulfillment of the United Nations Sustainable Development Goal 7: Affordable and clean energy. The results present the feasibility of using it in a real system, contributing to global energy efficiency.

Tecnológico de Monterrey (MX)
Affordable and clean energy
Openalex Percentile: Top 44%
Electric Vehicles and Infrastructure
0.21
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Applied Case of IoT and Generative AI Integration in an Electric Vehicle Charging Station — Antonio Carlos Bento, Carlos Alberto Lopez-Alvarez, et al. · (2024) | TGRS Research Map | TGRS