TY - JOUR
T1 - Application of an artificial neural network for modelling the thermal dynamics of a building's space and its heating system
AU - Gouda, M. M.
AU - Danaher, Sean
AU - Underwood, Chris
PY - 2002/9
Y1 - 2002/9
N2 - Artificial neural networks (ANNs) have been used for modelling the thermal dynamics of a building's space, its water heating system and the influence of solar radiation. A multi-layer feed-forward neural network, using a Levenberg-Marquardt backpropagation-training algorithm, has been applied to predict the future internal temperature. Real weather data for a number of winter months, together with a validated building model (based on the building constructions data), were used to train the network in order to generate a mapping between the easily measurable inputs (outdoor temperature, solar irradiance, heating valve position and the building indoor temperature) and the desired output, i.e., the predicted indoor temperature. The objective of this work was to investigate the potential of using an ANN with singular value decomposition method (SVD) to predict the indoor temperature to shut down the heating system controller early for saving the energy consumption for heating inside the building.
AB - Artificial neural networks (ANNs) have been used for modelling the thermal dynamics of a building's space, its water heating system and the influence of solar radiation. A multi-layer feed-forward neural network, using a Levenberg-Marquardt backpropagation-training algorithm, has been applied to predict the future internal temperature. Real weather data for a number of winter months, together with a validated building model (based on the building constructions data), were used to train the network in order to generate a mapping between the easily measurable inputs (outdoor temperature, solar irradiance, heating valve position and the building indoor temperature) and the desired output, i.e., the predicted indoor temperature. The objective of this work was to investigate the potential of using an ANN with singular value decomposition method (SVD) to predict the indoor temperature to shut down the heating system controller early for saving the energy consumption for heating inside the building.
KW - Artificial neural networks
KW - heating control
KW - prediction
KW - singular value decomposition
U2 - 10.1076/mcmd.8.3.333.14097
DO - 10.1076/mcmd.8.3.333.14097
M3 - Article
VL - 8
SP - 333
EP - 344
JO - Mathematical and Computer Modelling of Dynamical Systems
JF - Mathematical and Computer Modelling of Dynamical Systems
SN - 1387-3954
IS - 3
ER -