EnergyBridge: Benchmarking Household Energy Management, User Participation, and Grid Flexibility
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Abstract (arXiv)
Residential virtual power plants (VPPs) can provide grid flexibility by shifting household demand, but physical flexibility becomes dependable capacity only when residents authorize a plan and the promised response is delivered. Existing benchmarks evaluate control but omit event-specific authorization. We present EnergyBridge, a benchmark and agent framework connecting capacity reporting, household authorization, and physical execution. It combines region-specific EnergyPlus environments for Tianjin and Berlin with an LLM-based User Participation Simulator. Against 584 persona- and event-matched human role-play judgments, the LLM-based User Participation Simulator preserves method ordering with a 5.3-point mean absolute acceptance error. Across conventional controllers and agent baselines, EnergyBridge achieves the highest simulated authorization, lowest event-window energy, and the most reliable capacity commitment in both regions. We release human data and codes for reproducible human-centered grid-flexibility research: https://github.com/Agentic-Intelligence-Lab/EnergyBridge.
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References · 5
- 2017Proximal Policy Optimization Algorithmscited by 14,441
- 2022Out of One, Many: Using Language Models to Simulate Human Samplescited by 737
- 2025SimulatorArena: Are User Simulators Reliable Proxies for Multi-Turn Evaluation of AI Assistants?cited by 45
- 2025Agentic AI Home Energy Management System: A Large Language Model Framework for Residential Load Schedulingcited by 7
- 2025Sequential Operation of Residential Energy Hubs using Physics-Based Economic Nonlinear MPCcited by 1
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