Electric Vehicle’s Charging Stations Allocation System for Metropolitan Cities

Abstract:

For years, humanity has been progressing with the cost of harming the environment. And now one of the biggest change and solution being the introduction of electric vehicles. And the past few years’ electric vehicles had shown us it’s environmental and economic advantages, but distribution of the charging stations of these electric vehicles is crucial so that it could meet the needs of the users of these electric vehicles. Numerous attempts have been made to tackle this problem to find an optimize way to allocate the charging stations, but the traditional mathematical equation used are time consuming and suffers when put in new conditions such as different countries as the constants taken changes according to the places. But having the advantage of manipulating large data with the help of machine learning and applying data algorithms which adapts with different situations and bringing out hidden inferential we could take a new way of handling this problem. This paper consists of an exploration of computational ways, using machine learning algorithms to determine an optimal allocation of the electric vehicle’s charging stations in metropolitan cities and creating an interface for ease of use, also a thorough comparison with petrol pumps.

• Periodical: Advances in Science and Technology (Volume 124)
• Pages: 556-565
• DOI: https://doi.org/10.4028/p-i6u838
• Online since: February 2023
• Authors: Nabhendu Das*, Sumit Tiwari, T.Y.J. Naga Malleswari
• Keywords: Classification, Computational Ways, Prediction System, Traditional Equations

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