PREDIVIS: Hardware accelerated energy disaggregation for energy efficiency and predictive maintenance applications

The PREDIVIS project explores hardware-accelerated energy disaggregation for energy efficiency and predictive maintenance applications and developes novel tools for energy disaggregation and monitoring of device health status. These tools collect and analyse complex energy load time-series in real-time, using custom edge and cloud algorithms. Also designs and demonstrates a custom sensor for high frequency sampling (energy meter).

Plegma Labs is sponsoring this first of its kind (in Greece) Industrial Ph.D. in partnership with the National Center for Scientific Research “Demokritos”, the Aegean University and the Stavros Niarchos Foundation.

For more information on the Industrial Research Fellowship Program please click here.