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The goal of this internship is to recognize (if any) the patterns and correlations among multiples time-series signals. The recognized patterns can be used for the energy management system of the city bus whose operating modes should be chosen optima
Within this internship assignment period, you will develop a tool (in Python or Matlab) to detect patterns and correlations (if any) among time-series signals. Your tool will be applied to detect the correlations between the speed, battery State of Charge and operating mode profile of a city bus. The developed tool should be re-usable for different time-series signals and scalable for increased number of signals.
Literature survey and knowledge development:
Then please feel free to apply on this vacancy! For further questions don’t hesitate to contact us.
Contact: Róbinson Medina Sánchez
Phone number: +31 (0)6-116 63551
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