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 ...

Given the complexity and scale of this data, machine learning and AI are essential to accurately forecast and automate maintenance, which is why we need to have all the data aligned.

Japanese researchers employed machine learning to develop a wireless power transfer system that remains stable under any load ...

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.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Intelligent organizations prioritize investments in machine learning and real-time data ...