Research on Building Energy Consumption Prediction and Optimization Based on Artificial Intelligence and DeST Simulation

The construction industry, as a sector with huge output value and energy intensity, is crucial for energy conservation and carbon reduction. The current research mostly focuses on structural adjustment and use efficiency. Still, the cost of structural adjustment is high in actual operation, and the use of facilities needs to meet the needs of personnel, not just energy conservation. Research often relies on idealized data and lacks realistic dynamism. This study proposes an energy consumption simulation method with human behavior as the core, using the DeST model to create a basic building model, combining facial recognition and AI to predict the impact of human behavior on energy consumption, dynamically adjusting facility usage, evaluating energy-saving solutions, aiming to achieve energy consumption minimization while maintaining satisfaction.