Energy analysis of a building using artificial neural network: A review

• Artificial neural network use for energy analysis of a building.
• Use of artificial neural network to find energy requirement of a building during summer and winter.
• Use of artificial neural network to predict the indoor air temperature.
• Prediction of energy consumption by using artificial neural network.
• Heating, ventilating and air conditioning systems analysis by artificial neural network.

Artificial neural networks (ANNs) can be used to predict energy consumption more reliably than traditional simulation models and regression techniques. Artificial neural networks are nowadays accepted as an alternative technology offering a way to tackle complex and ill-defined problems. They are not programmed in the traditional way but they are trained using past history data representing the behaviour of a system. They have been used in a number of diverse applications. Results presented in this paper are testimony to the potential of artificial neural networks as a design tool in many areas of building services engineering.