Translating User Preferences into Smart Energy Controls

Translating User Preferences into Smart Energy Controls

Using LLMs to bridge natural language and technical constraints

This research demonstrates how Large Language Models can transform everyday user requests into technical optimization constraints for smart home energy management.

  • Natural Language to Technical Constraints: Converts Italian user preferences into formal constraints for smart appliances
  • Renewable Energy Community Focus: Designed specifically for the Italian renewable energy ecosystem
  • Practical Engineering Application: Creates an interface between user-friendly requests and complex technical systems
  • Real-World Implementation: Offers a pathway to make smart energy systems more accessible to average users

This innovation matters for engineering by eliminating the technical knowledge barrier between users and smart home systems, potentially accelerating adoption of energy optimization technologies in residential settings.

From User Preferences to Optimization Constraints Using Large Language Models

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