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

Nga Nguyen, an assistant professor in UW’s Department of Electrical Engineering and Computer Science, recently was awarded a $503,459 U.S. Department of Energy grant to study how to optimize the ...

Here, SoC solutions have all the processing power needed and can incorporate a wide variety of machine learning algorithms. All necessary sensor and communications interfaces are built-in, and SoCs ...

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.

When machine learning algorithms are fed a steady stream of real-time data, they can quickly detect bottlenecks, anomalies and other operational inefficiencies.