Real-Time Multi-Agent Reinforcement Learning Platform Revolutionizes Power System Control
A novel MADRL platform enables distributed, real-time control of power systems, marking a milestone for AI-powered smart grids.
Machine-Learning-Powered Breakthrough in Modular Thermal Energy Storage Design
A new study demonstrates how combining CFD simulations with machine-learning surrogate models can reduce thermal energy storage (TES) design time by more than 99%, marking a major step in enabling scalable renewable-energy systems.