The electric power consumption of a railway network is often available as an aggregate measurement, with no insight into the contribution of individual trains. On the other hand, on-board measurement devices available on the market do not provide a cost-efficient and scalable solution for large networks.

Flair-tech has supported NRG.it in developing a scalable, low-cost measurement system based on machine learning and GPS. The underlying predictive model is able to infer the consumption of individual trains of a railway network given their instant GPS coordinates and information on their paths.

Stay tuned to our blog to know more.