In Machine-Learning (ML), the said variable current inadvertently affects the multiple features of the input current profile required for micro-SEL detection, ... In this paper, we propose a data ...

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

The complexity and uncertainty in power systems leads to a great challenge for controlling the power grid using traditional manual adjustment methods. Reinforcement learning is a promising data-driven ...