Heating Optimisation of a Multi-Zone Building’s Thermal Comfort Under Stochastic Condition using Data-Driven Model Predictive Control
Model Predictive Control (MPC) has gained popularity in recent years and is widely adopted in building control. This study proposes a novel data-driven robust MPC to make the optimal heating plan, specifically for the multi-zone single-floor building. In this study, the room temperature and relative...
Guardado en:
Autores principales: | Guoqing Hu, Fengqi You |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
AIDIC Servizi S.r.l.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/f3a98a09c179428d8ec8709eb095c8cc |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Unit Commitment under Uncertainty using Data-Driven Optimization with Clustering Techniques
por: Ning Zhao, et al.
Publicado: (2021) -
Enhancement and Energy Optimised Integration of Heat Exchangers in Petrochemical Industry for Waste Heat Utilisation
por: Min Zeng, et al.
Publicado: (2021) -
An Optimisation Algorithm for Detailed Shell-and-Tube Heat Exchanger Designs for Multi-Period Operation
por: Zain Mahmood, et al.
Publicado: (2021) -
Robustness and Accuracy of the Particle Swarm Optimisation Method in the Solution of Inverse Heat Transfer Problems with Phase Change
por: Martin Zálešák, et al.
Publicado: (2021) -
Simultaneous Production of Solar Thermal Heat and Power for Industrial Applications
por: Guillermo Martínez-Rodríguez, et al.
Publicado: (2021)