Overcoming the Energy–Health Trade-Off in Smart Buildings: AI-Driven Dynamic Thresholding for Sustainable HVAC (Heating, Ventilation, and Air Conditioning) Actuation and Multi-Pollutant Management
An intelligent, energy-efficient, and robust multi-pollutant forecasting and control framework that integrates hybrid LSTM–GRU forecasting with Proximal Policy Optimization (PPO)-based reinforcement learning to maintain indoor air quality while minimizing unnecessary energy consumption and mechanical actuation is devel...