Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

For the past 100 years across most of the world, consumers have received their electricity from large central power plants, which provide energy to the entire system from a single location via a ...

When engineers need to evaluate harmonic concerns on power systems, they generally refer to Standard 519-1992 from the Institute of Electrical and Electronics Engineers (IEEE). But in distributed-load ...