Model Predictive Control for Smart Buildings: Applications and Innovations in Energy Management

The integration of advanced control strategies into building energy management systems (BEMS) is essential for achieving energy efficiency and sustaining thermal comfort. Model predictive control (MPC) has gained significant traction as a model-based approach capable of optimizing control actions by...

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Veröffentlicht in:	Buildings (Basel) Jg. 15; H. 18; S. 3298
Hauptverfasser:	Michailidis, Panagiotis, Michailidis, Iakovos, Minelli, Federico, Coban, Hasan Huseyin, Kosmatopoulos, Elias
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.09.2025
Schlagworte:	Algorithms Alternative energy sources Benchmarks building energy management Buildings Electric vehicle charging Electric vehicles Emission standards Energy consumption Energy efficiency Energy industry Energy management Energy management systems Energy storage Energy use Forecasting Heuristic methods HVAC HVAC control Interactive control Machine learning Middleware model predictive control Multiagent systems Multiple objective analysis Optimization Optimization techniques Predictive control Real time Renewable energy Simulation methods Smart buildings smart homes Solvers Support systems Thermal comfort Trends United Kingdom
ISSN:	2075-5309, 2075-5309
Online-Zugang:	Volltext
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