Development of a prediction tool for electric bus consumption based on artificial intelligence and operational data

The project aims to develop a model for predicting the electricity consumption of a bus based on operational data. This will allow fleet operators to optimise the construction of schedules and reduce operating costs. The project will also demystify the issues related to the electrification of public transport and facilitate the acceleration of the energy transition.

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