2023
DOI: 10.3390/en16207149
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Transfer Learning Prediction Performance of Chillers for Neural Network Models

Hongwen Dou,
Radu Zmeureanu

Abstract: Building automation systems installed in large commercial buildings record sub-hourly measurements from hundreds of sensors. The use of such large datasets are challenging because of missing and erroneous data, which can prevent the development of accurate prediction models of the performance of heating, ventilation, and air-conditioning equipment. The use of the transfer learning (TL) method for building applications attracted researchers to solve the problems created by small and incomplete datasets. This pa… Show more

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