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.