Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system

In this paper, a comprehensive review of the artificial neural network (ANN) based model predictive control (MPC) system design is carried out followed by a case study in which ANN models of a residential house located in Ontario, Canada are developed and calibrated with the data measured from site....

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Bibliographic Details
Published in:Energy and buildings 2017-04, Vol.141, p.96-113
Main Authors: Afram, Abdul, Janabi-Sharifi, Farrokh, Fung, Alan S., Raahemifar, Kaamran
Format: Article
Language:English
Subjects:
Air temperature
Algorithms
ANN based MPC review
Artificial neural network (ANN)
Artificial neural networks
Case studies
Control systems
Equipment costs
Goodness of fit
HVAC
HVAC equipment
Iterative methods
Mathematical models
Model predictive control (MPC)
Neural networks
Operating costs
Optimization of HVAC system
Predictive control
Residential buildings
Residential HVAC system
Residential location
Studies
Systems design
Temperature effects
Thermal comfort
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