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.

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Title Improving load forecasting based on deep learning and K-shape clustering
Author(s) Fahiman, Fateme
Erfani, Sarah M.
Rajasegarar, Sutharshan
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
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