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Comparison of using SVMs and ANNs for smart grid load forecasting

The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Po...

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Bibliographic Details
Main Author: Xinxing, Pan (Starry)
Format: Other
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2013
Subjects:
Support Vector Machines (SVMs)
Artificial Neural Networks (ANNs)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/30896
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id my.unimap-30896
record_format dspace
spelling my.unimap-308962013-12-27T07:26:15Z Comparison of using SVMs and ANNs for smart grid load forecasting Xinxing, Pan (Starry) Support Vector Machines (SVMs) Artificial Neural Networks (ANNs) The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. Load forecasting plays a very important role in building out the smart grid, and attracts the attention of not only the researchers and engineers, but also governments. The classical method for load forecasting is to use artificial neural networks (ANN). Recently the use of support vector machines (SVM) has emerged as a hot research topic for load forecasting. Based on the results from the experiments, a comparison between different internal ANN algorithms as well as the comparison between ANN itself and SVM is discussed, and the merits of each approach described. Also, how much effect the factors like weather and type of day have for the load prediction is analyzed. 2013-12-27T07:26:15Z 2013-12-27T07:26:15Z 2012-06-18 Other p. 1278 978-967-5760-11-2 http://hdl.handle.net/123456789/30896 en The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012); Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Support Vector Machines (SVMs)
Artificial Neural Networks (ANNs)
spellingShingle Support Vector Machines (SVMs)
Artificial Neural Networks (ANNs)
Xinxing, Pan (Starry)
Comparison of using SVMs and ANNs for smart grid load forecasting
description The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia.
format Other
author Xinxing, Pan (Starry)
author_facet Xinxing, Pan (Starry)
author_sort Xinxing, Pan (Starry)
title Comparison of using SVMs and ANNs for smart grid load forecasting
title_short Comparison of using SVMs and ANNs for smart grid load forecasting
title_full Comparison of using SVMs and ANNs for smart grid load forecasting
title_fullStr Comparison of using SVMs and ANNs for smart grid load forecasting
title_full_unstemmed Comparison of using SVMs and ANNs for smart grid load forecasting
title_sort comparison of using svms and anns for smart grid load forecasting
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/30896
_version_ 1643796409831391232
score 13.214268

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