Jothi Prabha Appadurai1, Dr. Rajesh T2, R. Yugha3, Rashel Sarkar4, Arunadevi Thirumalraj5, Balasubramanian Prabhu kavin6, Dr. Gan Hong Seng7
Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, Vol.40, No.2, pp. 1-9, 2024, DOI:10.23967/j.rimni.2024.02.002
- 03 May 2024
Abstract In smart city applications, electric vehicles (EVs) are rapidly gaining popularity due to their ability to help cut down on carbon emissions. Numerous environmental conditions, including terrain, traffic, driving style, temperature, and so on, affect the amount of energy an EV needs to operate. However, the burden on power grid infrastructure from widespread EV deployment is one of the biggest obstacles. Smart scheduling algorithms can be used to handle the rising public charging demand. Scheduling algorithms can be improved using data-driven tools and procedures to study EV charging behaviour. Predictions of behaviour, including temperature, departure… More >
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