Author

Jian-Hong Wang

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#artificial intelligence Preprint Sep 2026

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...

Zhan-Hua Pan, Xin-Jing Qin, Xiao Liu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

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

Power system operation is a safety-critical sequential decision-making problem, making it a natural testbed for reinforcement learning (RL). However, existing RL environments for power systems are often narrow in scope and computationally limited by CPU-based simulation workflows, making large-scale evaluation difficul...

Zhan-Hua Pan, Xiao Liu, Zhi-Long Cao et al. · 0 citations