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Implementation of predictive control in a commercial building energy management system using neural networks

Author
Macarulla, M.; Casals, M.; Forcada, N.; Gangolells, M.
Type of activity
Journal article
Journal
Energy and buildings
Date of publication
2017-09-15
Volume
151
First page
511
Last page
519
DOI
https://doi.org/10.1016/j.enbuild.2017.06.027 Open in new window
Repository
http://hdl.handle.net/2117/106961 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0378778817300907 Open in new window
Abstract
Most existing commercial building energy management systems (BEMS) are reactive rule-based. This means that an action is produced when an event occurs. In consequence, these systems cannot predict future scenarios and anticipate events to optimize building operation. This paper presents the procedure of implementing a predictive control strategy in a commercial BEMS for boilers in buildings, and describes the results achieved. The proposed control is based on a neural network that turns on the b...
Citation
Macarulla, M., Casals, M., Forcada, N., Gangolells, M. Implementation of predictive control in a commercial building energy management system using neural networks. "Energy and buildings", 15 Setembre 2017, vol. 151, p. 511-519.
Keywords
Boiler management, Building energy management system, Energy savings, Neural networks
Group of research
GRIC - Group of Construction Research and Innovation