Hourly prediction of a building's electricity consumption using case-based reasoning, artificial neural networks and principal component analysis

•Artificial neural network (ANN) and case-based reasoning (CBR) models for predicting the hourly electricity consumption of an institutional building are developed.•Principal component analysis (PCA) is used to select the significant inputs.•The prediction is carried out on an hourly basis, with a h...

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Bibliographic Details

Published in:	Energy and buildings Vol. 92; pp. 10 - 18
Main Authors:	Platon, Radu, Dehkordi, Vahid Raissi, Martel, Jacques
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.04.2015
Subjects:	Artificial neural networks Building electricity consumption Case-based reasoning Input selection Predictive accuracy Principal component analysis Similarity Building electricity consumption Similarity Artificial neural networks Case-based reasoning Predictive accuracy Input selection Principal component analysis
ISSN:	0378-7788
Online Access:	Get full text
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