Researchers have developed OccuReward, a framework that uses LLMs to shape reward functions for energy management in grid-interactive buildings, aiming to improve demographic equity. The system utilizes the Gemini API to iteratively refine reward logic and weights, focusing on occupant comfort. Initial results showed elderly females experienced the lowest satisfaction, but after three rounds of refinement, satisfaction improved significantly across various demographic groups while also reducing energy costs. AI
IMPACT This research demonstrates how LLMs can be leveraged to improve fairness and occupant comfort in AI-driven building systems, potentially influencing future smart building designs.
RANK_REASON The cluster is based on an academic paper introducing a new framework and methodology for LLM-guided reward shaping in building energy management. [lever_c_demoted from research: ic=1 ai=1.0]
- ASHRAE Global Thermal Comfort Database II
- CityLearn v2
- elderly female occupants
- Gemini API
- Health Sensitive
- LLM
- Mid-aged Females
- OccuReward
- Soft Actor-Critic
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