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Cluster analysis and artificial neural networks in predicting energy efficiency of public buildings as a cost-saving approach Cover

Cluster analysis and artificial neural networks in predicting energy efficiency of public buildings as a cost-saving approach

Croatian Review of Economic, Business and Social Statistics
Volume 4 (2018): Issue 2 (November 2018)
By: Marijana Zekić-Sušac,  Rudolf Scitovski and  Adela Has  
Open Access
|Dec 2018

Authors

Marijana Zekić-Sušac

marijana@efos.hr

Faculty of Economics in Osijek, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia

Rudolf Scitovski

scitowsk@mathos.hr

Department of Mathematics, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia

Adela Has

adela.has@efos.hr

Faculty of Economics in Osijek, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
DOI: https://doi.org/10.2478/crebss-2018-0013 | Journal eISSN: 2459-5616
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Language: English
Page range: 57 - 66
Submitted on: Jun 1, 2018
|
Accepted on: Oct 30, 2018
|
Published on: Dec 14, 2018
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
artificial neural networks,
clustering,
energy efficiency,
machine learning,
prediction model
Related subjects:
Business and economics,
Mathematics and statistics for economists,
Mathematics,
Econometrics,
Mathematics,
Probability and statistics,
Social sciences,
Sociology,
Methods, techniques, statistics

© 2018 Marijana Zekić-Sušac, Rudolf Scitovski, Adela Has, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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