On-line building energy prediction using adaptive artificial neural networks

By Jin Yang, H. Rivard, R. Zmeureanu. 2005

353 citations recorded by the source corpus.

Subfields: Building and Construction, Electrical and Electronic Engineering, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/2fe349dc5e0236309a330080a8f8fa520d4f96ef

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. U. Aksoy
2. B. B. Ekici

Citations in the corpus

• Prediction of building energy consumption by using artificial neural networks (2009, background): “[7] have investigated the adaptation of the network to unexpected changes of the input variables and the ability to predict the on-line building energy needs.”