D. Qiu

PowerMarketJax: A JAX Benchmark Suite for Multi-Agent Reinforcement Learning in Power Markets

This work introduces PowerMarketJax, a benchmark suite for MARL across five power markets: day-ahead wholesale, real-time balancing, ancillary services, peer-to-peer double auctions, and local flexibility, which implements its own clearing, pricing, and settlement rules while providing a common framework for learning a...

PowerZooJax: A JAX-based Power System Benchmark for Reinforcement Learning

PowerZooJax is introduced, a JAX-based benchmark suite for RL in power system operation that provides five constrained Markov decision process tasks spanning generation, transmission, distribution, distributed energy resources, and data center microgrid and shows substantial speedups over CPU-based simulations.

Risk-Aware Economic Scheduling for Hydrogen-Enabled Building Energy Systems Considering Extreme Weather Events

Uncertainty-aware reinforcement learning for joint optimization of data center operations and electricity market bidding