Building Seasonal Highways for Residential Energy Hubs: Sizing, planning and operating thermal energy storage
The research developed a data-driven framework to connect short-term daily energy control with long-term seasonal goals for residential energy hubs. By using dynamic terminal sets and value functions within a nonlinear economic model predictive controller, the system steers daily operations toward seasonal optimality. The resulting SAGeMPC achieved the best balanced performance among tested controllers.