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...

Full description

Bibliographic Details
Main Authors: Jovanović Radiša Ž., Sretenović Aleksandra A.
Format: Article
Language:English
Published: University of Belgrade - Faculty of Mechanical Engineering, Belgrade 2017-01-01
Series:FME Transactions
Subjects:
Online Access:https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2017/1451-20921701051J.pdf
_version_ 1818544059850948608
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