Ensemble of radial basis neural networks with k-means clustering for heating energy consumption prediction
For the prediction of heating energy consumption of university campus, neural network ensemble is proposed. Actual measured data are used for training and testing the models. Improvement of the prediction accuracy using k-means clustering for creating subsets used to train individual radial basis fu...
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Format: | Article |
Language: | English |
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University of Belgrade - Faculty of Mechanical Engineering, Belgrade
2017-01-01
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Series: | FME Transactions |
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Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2017/1451-20921701051J.pdf |
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author | Jovanović Radiša Ž. Sretenović Aleksandra A. |
author_facet | Jovanović Radiša Ž. Sretenović Aleksandra A. |
author_sort | Jovanović Radiša Ž. |
collection | DOAJ |
description | For the prediction of heating energy consumption of university campus, neural network ensemble is proposed. Actual measured data are used for training and testing the models. Improvement of the prediction accuracy using k-means clustering for creating subsets used to train individual radial basis function neural networks is examined. Number of clusters is varying from 2 to 5. The outputs of ensemble members are aggregated using simple, weighted and median based averaging. It is shown that ensembles achieve better prediction results than the individual network. |
first_indexed | 2024-12-11T22:43:29Z |
format | Article |
id | doaj.art-47d41715e6f64178b2718980672b46a8 |
institution | Directory Open Access Journal |
issn | 1451-2092 2406-128X |
language | English |
last_indexed | 2024-12-11T22:43:29Z |
publishDate | 2017-01-01 |
publisher | University of Belgrade - Faculty of Mechanical Engineering, Belgrade |
record_format | Article |
series | FME Transactions |
spelling | doaj.art-47d41715e6f64178b2718980672b46a82022-12-22T00:47:43ZengUniversity of Belgrade - Faculty of Mechanical Engineering, BelgradeFME Transactions1451-20922406-128X2017-01-0145151571451-20921701051JEnsemble of radial basis neural networks with k-means clustering for heating energy consumption predictionJovanović Radiša Ž.0Sretenović Aleksandra A.1University of Belgrade, Faculty of Mechanical Engineering, Department of Automatic ControlUniversity of Belgrade, Faculty of Mechanical Engineering, Department of Thermal ScienceFor the prediction of heating energy consumption of university campus, neural network ensemble is proposed. Actual measured data are used for training and testing the models. Improvement of the prediction accuracy using k-means clustering for creating subsets used to train individual radial basis function neural networks is examined. Number of clusters is varying from 2 to 5. The outputs of ensemble members are aggregated using simple, weighted and median based averaging. It is shown that ensembles achieve better prediction results than the individual network.https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2017/1451-20921701051J.pdfheating consumption predictionradial basis neural networksensemble |
spellingShingle | Jovanović Radiša Ž. Sretenović Aleksandra A. Ensemble of radial basis neural networks with k-means clustering for heating energy consumption prediction FME Transactions heating consumption prediction radial basis neural networks ensemble |
title | Ensemble of radial basis neural networks with k-means clustering for heating energy consumption prediction |
title_full | Ensemble of radial basis neural networks with k-means clustering for heating energy consumption prediction |
title_fullStr | Ensemble of radial basis neural networks with k-means clustering for heating energy consumption prediction |
title_full_unstemmed | Ensemble of radial basis neural networks with k-means clustering for heating energy consumption prediction |
title_short | Ensemble of radial basis neural networks with k-means clustering for heating energy consumption prediction |
title_sort | ensemble of radial basis neural networks with k means clustering for heating energy consumption prediction |
topic | heating consumption prediction radial basis neural networks ensemble |
url | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2017/1451-20921701051J.pdf |
work_keys_str_mv | AT jovanovicradisaz ensembleofradialbasisneuralnetworkswithkmeansclusteringforheatingenergyconsumptionprediction AT sretenovicaleksandraa ensembleofradialbasisneuralnetworkswithkmeansclusteringforheatingenergyconsumptionprediction |