The rapid deployment of solar photovoltaic (PV) systems in distribution networks, while indicative of the desire to move away from fossil fuels, has created new challenges due to the bi-directional power flow and power fluctuations of PV.

Professor Tapan’s research team aims to provide a more cost-effective way to monitor and predict the operating conditions of the distribution network by using high precision distribution Phasor Measurement Units (PMUs) through AI/ML/DS techniques.

Project members

Professor Tapan Saha

School of Electrical Engineering and Computer Science