Research-ready implementation of reinforcement learning algorithms for job scheduling optimization. This project demonstrates state-of-the-art RL techniques applied to realistic scheduling problems ...

Abstract: Geographically distributed data centers (DCs) offer significant spatiotemporal flexibility and are ideal candidates for demand response in power systems. This paper proposes a two-stage ...

Abstract: Modern grids are harder to operate than before. Wind and solar are now common, but they are not steady. Output can drop within minutes. Operators must still keep cost low, hold voltage ...