Design and application of mixed-integer nonlinear model predictive control in residential buildings

Key Points

• Optimizing energy efficiency in residential buildings leads to substantial cost savings.
• The model predictive control approach actively adjusts operations based on predicted behavior.
• Analysis of energy consumption showed a 30% reduction in peak demand over test scenarios.
• These findings suggest how control systems can reduce energy costs and enhance sustainability.