Intelligent HVAC Control in Residential Buildings: A System-atic Review of Advanced Techniques and AI Applications

This review provides actionable insights for engineers, researchers, and building managers seeking to implement intelligent HVAC control in residential settings. Applications include energy-efficient heating and cooling, integration with renewable energy sources, and adaptive comfort management using AI-driven strategies such as MPC, DRL, and neural network-based prediction. The findings support practical deployment of hybrid control systems to reduce energy consumption, enhance occupant comfort, and enable grid-interactive smart homes.