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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Veröffentlicht in:	Energy and buildings Jg. 92; S. 10 - 18
Hauptverfasser:	Platon, Radu, Dehkordi, Vahid Raissi, Martel, Jacques
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.04.2015
Schlagworte:	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-Zugang:	Volltext
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