Project Overview
KEESmartHome investigates the balance between comfort, energy efficiency, and automation in intelligent home environments. It studies how AI can dynamically adapt smart-home systems to user preferences and context.
Our Goal
Develop adaptive smart-home algorithms balancing energy use and comfort. Study user interaction patterns with intelligent home systems. Provide metrics and feedback for optimal comfort–efficiency equilibrium.
Highlights
AI-controlled dynamic energy management. Integration of sensors, automation, and HCI research. Conducted under the Software Campus framework.
Impact
Promotes sustainable and user-friendly smart-home designs. Reduces energy costs without compromising living comfort. Informs future standards for adaptive building control.
