Wind power forecasting using emotional neural networks Lotfi,E, Khosravi,A, Akbarzadeh,M and Nahavandi,S 2014, Wind power forecasting using emotional neural networks, in SMC 2014 : Proceedings 2014 IEEE International Conference on Systems, Man, and Cybernetics, IEEE, Piscataway, NJ, pp. 311-316. Attached Files Name Description MIMEType Size Downloads Title Wind power forecasting using emotional neural networks Author(s) Lotfi,E Khosravi,A orcid.org/0000-0001-6927-0744 Akbarzadeh,M Nahavandi,S orcid.org/0000-0002-0360-5270 Conference name Systems, Man, and Cybernetics. Conference (2014 : San Diego, CA) Conference location San Diego, CA, USA Conference dates 2014/10/5 - 2014/10/8 Title of proceedings SMC 2014 : Proceedings 2014 IEEE International Conference on Systems, Man, and Cybernetics Editor(s) [Unknown] Publication date 2014 Conference series Systems, Man, and Cybernetics Conference Start page 311 End page 316 Total pages 6 Publisher IEEE Place of publication Piscataway, NJ ISBN 9781479938391 Language eng Field of Research 080108 Neural, Evolutionary and Fuzzy Computation Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1 Full written paper - refereed ERA Research output type E Conference publication Copyright notice ©2014, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30072539 Document type: Conference Paper Collection: Centre for Intelligent Systems Research Related Links Link Description Publisher URL 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 Tue, 21 Apr 2015, 13:52:53 EST Tue, 21 Apr 2015, 13:54:03 EST Wed, 22 Apr 2015, 05:03:07 EST Wed, 22 Apr 2015, 06:15:30 EST Thu, 30 Apr 2015, 13:19:11 EST Thu, 30 Apr 2015, 13:21:16 EST Wed, 27 May 2015, 14:13:12 EST Mon, 12 Oct 2015, 16:04:43 EST Mon, 18 Jul 2016, 15:35:57 EST Wed, 07 Feb 2018, 13:57:43 EST Filtered Full Citation counts:   Cited 5 times in TR Web of Science Cited 7 times in Scopus Search Google Scholar Access Statistics: 280 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Tue, 21 Apr 2015, 13:54:03 EST

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