Abstract: Fault location and classification are crucial to the reliable and resilient operation of power distribution networks (PDNs ... Therefore, we propose a novel generative dynamic graph ...

Abstract: Smart distribution grids with a high percentage of distributed ... and propose a multi-agent meta-reinforcement learning algorithm based on graph convolutional networks to improve voltage ...

Jen Karner has spent the last 10 years covering technology, streaming services, video games, while working behind the scenes as an editor for her teams. She's also the author of the award winning ...

The binomial distribution is ... each outcome \(\Pr(X=x)\). The shape of the graph depends on the parameters \(n\) (number of trials) and \(p\) (probability of success). This graph can also be called ...

We used a previously established distribution entropy algorithm to extract the complexity of pulse rate as a proxy for subclinical cardiovascular function. Participants completed a standardized ...

Since 1990, more than 90 percent of U.S. metro areas have seen a decline in racial stratification, signaling a trend toward a more integrated America. Yet, while areas like Houston and Atlanta ...

Arctic sea ice extent through most of April changed very little. Only at the end of the month did extent begin to decline. Because the month started with unusually low extent, however, the average ...

Lattice Boltzmann method (LBM) is a relatively new simulation technique for the modeling of complex fluid systems and has attracted interest from researchers in computational physics. Unlike the ...

distfit is a python library for probability density fitting.