Grounded, Compute-Efficient LLM Policy Agents for Energy-Poverty Equity in Physically-Constrained Peer-to-Peer Energy Markets

arXiv:2609.01918 · cs.CL · Submitted 2026-09-01 · Read on arXiv

cs.CL

Submitted: 2026-09-01

Updated: 2026-09-01

Terminology

• Grounding — 15× in this paper · explained in 3 episodes
• Energy Burden — 10× in this paper
• Benchmark — 5× in this paper · explained in 2 episodes
• Reinforcement Learning — 5× in this paper · explained in 4 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 4 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Multi-Agent Reinforcement Learning (MARL) — 1× in this paper · explained in 4 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• RAG — 1× in this paper · explained in 3 episodes

Sources

• Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?
• Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets
• How Hungry is AI? Benchmarking Energy, Water, and Carbon Footprint of LLM Inference
• When Can Digital Personas Reliably Approximate Human Survey Findings?
• Dynamic Operating Envelopes Embedded Peer-to-Peer-to-Grid Energy Trading
• LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra
• LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading
• LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
• Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models
• An Explainable Equity-Aware P2P Energy Trading Framework for Socio-Economically Diverse Microgrid
• RL2: Reinforce Large Language Model to Assist Safe Reinforcement Learning for Energy Management of Active Distribution Networks
• Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control

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