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Design and application of mixed-integer nonlinear model predictive control in residential buildings | Synapse
March 3, 2026
Open Access
Design and application of mixed-integer nonlinear model predictive control in residential buildings
AB
Artyom Burda
Leibniz University Hannover
MR
Mirco Rode
Leibniz University Hannover
AS
Axel Schild
University of Pisa
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Puntos clave
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.
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Cite This Study
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Burda et al. (Thu,) studied this question.
synapsesocial.com/papers/69a761adc6e9836116a2fb96
https://doi.org/https://doi.org/10.25968/opus-3833