IEEE

Multi-Objective Genetic Programming Assisted Stochastic Deep Reinforcement Learning for Dynamic Knowledge Integration in Transportation Networks

Abstract: Transportation Networks (TNs) play a critical role in economic and social systems, yet the dynamic nature and inherent heterogeneity of TN data pose challenges for Dynamic Knowledge ...
IEEE

Multi-Objective and Multi-Agent Deep Reinforcement Learning for Real-Time Decentralized Volt/VAR Control of Distribution Networks Considering PV Inverter Lifetime

Abstract: PV inverters can provide prompt and flexible reactive power support to voltage/var control (VVC) of distribution networks, but their lifetime can be significantly reduced due to additional ...
Hackaday

The Staggering Complexity And Subtlety Of Concurrency

If you’re gonna be a hacker eventually you’re gonna have to write code. And if you write code eventually you’re gonna have to deal with concurrency. Concurrency is what we call ...