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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Universiti Malaysia Perlis (UniMAP)
2013
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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) |
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English |
| topic |
Support Vector Machines (SVMs) Artificial Neural Networks (ANNs) |
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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 |