Research on Innovative Applications of AI in Sustainable Architecture: Blueprint for Future Building Technology

With increasing concerns over climate change and resource scarcity, sustainable construction has become a key priority. The proposed model integrates a multi-layer AI structure with three modules: data collection, intelligent prediction, and dynamic control. IoT sensors first gather real-time environmental data, which the AI system uses to operate effectively. A deep learning network then predicts building energy demand, enabling dynamic energy adjustments using LSTM neural networks. Finally, reinforcement learning algorithms adaptively control energy and environmental systems, incorporating climate predictions, building thermal properties, and energy prices to maximize efficiency. The model dynamically adjusts energy consumption based on predicted demand and factors such as climate forecasts, building thermal properties, and energy prices. Experimental simulations confirm the model’s effectiveness in reducing energy use and emissions across various building scenarios.