Conversational preference learning for personalized thermal comfort control with a lightweight large language model

Key Points

• Personalized thermal comfort control demonstrates improved satisfaction.
• Using preference learning, the model significantly enhances comfort metrics.
• Analysis of user interactions with a lightweight large language model was conducted to understand preferences.
• This study supports innovative approaches to improving indoor climate experiences.