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Paper Title : Predicting Power Utilization In Large Vehicles Using ML

ISSN : 2395-1303
Year of Publication : 2022
10.5281/zenodo.7239079

Authors: Jayarajan S, Bhavana.K, Swathika.K ,Laya M

         


Abstract
Instead of the conventional time period, we employed the vehicle trip distance while creating customized machine learning models for fuel use. Seven predictors generated from vehicle speed and road grade are combined with this method to create a highly predictive neural network model for average fuel consumption in large vehicles. To reduce fuel usage across the board, the suggested methodology can be quickly established and implemented for each individual vehicle in a fleet. The model's predictors are combined over predetermined window sizes for distance travelled. The evaluation of various window widths reveals that a 1 km window has a 0.91 coefficient of determination and a mean absolute peak-to-peak percent error that is less.

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Keywords
— Predicting Power Utilization In Large Vehicles Using ML