Take the pressure off of problem-solving with engaging thinking games that encourage students to work together to find ...

Accurate and efficient operational risk prediction is critical for modern power systems facing dynamic unit commitment and renewable integration. Existing machine learning and deep learning approaches ...

We asked an interior designer and an architect to help break down the process so that we can all put pen to (gridded) paper ...

Abstract: Time series are the primary data type used to record dynamic system measurements and generated in great volume by both physical sensors and online processes (virtual sensors). Time series ...