Construction and Practice of Energy Efficiency Evaluation System for Green Building Environment Design Driven by Artificial Intelligence
An artificial-intelligence-driven evaluation system that combines BIM, IoT monitoring data, graph neural networks, deep reinforcement learning, and interpretable analysis is constructed that achieves an RMSE of 2.91 kWh/m2·a and reduces prediction error by 66.3% compared with static indicators.