Improving load forecasting based on deep learning and K-shape clustering Fahiman, Fateme, Erfani, Sarah M., Rajasegarar, Sutharshan, Palaniswami, Marimuthu and Leckie, Christopher 2017, Improving load forecasting based on deep learning and K-shape clustering, in IJCNN 2017 : Proceedings of the International Joint Conference on Neural Networks 2017, IEEE, Piscataway, N.J., pp. 4134-4141, doi: 10.1109/IJCNN.2017.7966378. Attached Files Name Description MIMEType Size Downloads Title Improving load forecasting based on deep learning and K-shape clustering Author(s) Fahiman, Fateme Erfani, Sarah M. Rajasegarar, Sutharshan orcid.org/0000-0002-6559-6736 Palaniswami, Marimuthu Leckie, Christopher Conference name Neural Networks. International Joint Conference (2017 : Anchorage, Alaska) Conference location Anchorage, Alaska Conference dates 2017/05/14 - 2017/05/19 Title of proceedings IJCNN 2017 : Proceedings of the International Joint Conference on Neural Networks 2017 Publication date 2017 Conference series International Joint Conference on Neural Networks Start page 4134 End page 4141 Total pages 8 Publisher IEEE Place of publication Piscataway, N.J. ISBN 9781509061815 Language eng DOI 10.1109/IJCNN.2017.7966378 HERDC Research category E1.1 Full written paper - refereed ERA Research output type E Conference publication Copyright notice ©2017, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30104950 Document type: Conference Paper Collection: School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 17 Nov 2017, 19:50:47 EST Sat, 18 Nov 2017, 04:01:18 EST Sat, 18 Nov 2017, 05:05:20 EST Tue, 21 Nov 2017, 13:56:24 EST Tue, 21 Nov 2017, 13:59:19 EST Sat, 14 Apr 2018, 02:32:06 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 82 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Fri, 17 Nov 2017, 19:50:47 EST

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