Neural networks based predictive control for thermal comfort and energy savings in public buildings

The paper addresses the problem of controlling a Heating Ventilation and Air Conditioning (HVAC) system with the purpose of achieving a desired thermal comfort level and energy savings. The formulation uses the thermal comfort, assessed using the predicted mean vote (PMV) index, as a restriction and...

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Bibliographic Details
Main Author: Ferreira, P. M. (author)
Other Authors: Ruano, Antonio (author), Silva, S. M. (author), Conceição, Eusébio (author)
Format: article
Language:eng
Published: 2013
Subjects:
HVAC predictive control
Predicted mean vote
Neural networks
Multi-objective genetic algorithm
Thermal comfort
Wireless sensor networks
Online Access:http://hdl.handle.net/10400.1/2145
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/2145

Internet

http://hdl.handle.net/10400.1/2145

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