A reliable mixed-integer linear programming formulation for data-driven model predictive control in buildings

Integrating renewable energy sources into buildings requires advanced control strategies to enhance demand-side flexibility. Data-driven Model Predictive Control (DMPC) has shown significant promise in this area. Buildings with Thermally Activated Building Structures (TABS) and glass façade present...

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Bibliographic Details
Published in:	MethodsX Vol. 15; p. 103470
Main Authors:	Klanatsky, Peter, Veynandt, François, Heschl, Christian
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.12.2025 Elsevier
Subjects:	Building energy management Data-driven building modelling Data-driven predictive control Energy Model predictive control Optimization algorithm Optimization problem formulation with Mixed-Integer Linear Programming for Data-driven Model Predictive Control of buildings with Thermally Activated Building Structures and shading system Smart shading control Thermally activated building structure Smart shading control Optimization problem formulation with Mixed-Integer Linear Programming for Data-driven Model Predictive Control of buildings with Thermally Activated Building Structures and shading system Model predictive control Optimization algorithm Thermally activated building structure Building energy management Data-driven predictive control Data-driven building modelling
ISSN:	2215-0161, 2215-0161
Online Access:	Get full text
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