Machine learning (ML) can be applied at the ‘edge’ where data processing functions are tightly targeted and power consumption must be low.

To date, there are many algorithms that can estimate the power produced by photovoltaic systems several hours ahead by learning from previous data and analyzing current variables.

Nga Nguyen, in UW’s Department of Electrical Engineering and Computer Science, recently received a $503,459 DOE grant for her project titled “Optimal Operation of Large-Scale Energy Storage Systems to ...