Weighted autocorrelation based prediction Interval optimization for wind power generation

Kabir, Hussain Mohammed Dipu, Hosen, Mohammad, Khosravi, Abbas and Nahavandi, Saeid 2018, Weighted autocorrelation based prediction Interval optimization for wind power generation, in IJCNN 2018: Proceedings of the International Joint Conference on Neural Networks, IEEE, Piscataway, N.J., pp. 1-6, doi: 10.1109/IJCNN.2018.8489658.

Attached Files
Name Description MIMEType Size Downloads

Title Weighted autocorrelation based prediction Interval optimization for wind power generation
Author(s) Kabir, Hussain Mohammed DipuORCID iD for Kabir, Hussain Mohammed Dipu orcid.org/0000-0002-3395-1772
Hosen, MohammadORCID iD for Hosen, Mohammad orcid.org/0000-0001-8282-3198
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Conference name Neural Networks. Conference (2018 : Rio De Janeiro, Brazil)
Conference location Rio De Janeiro, Brazil
Conference dates 2018/07/08 - 2018/07/13
Title of proceedings IJCNN 2018: Proceedings of the International Joint Conference on Neural Networks
Publication date 2018
Start page 1
End page 6
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Correlation
Bars
Mathematical model
Wind power generation
Artificial neural networks
Prediction algorithms
Optimization
ISBN 9781509060146
ISSN 2161-4407
Language eng
DOI 10.1109/IJCNN.2018.8489658
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Persistent URL http://hdl.handle.net/10536/DRO/DU:30118806

Document type: Conference Paper
Collections: Centre for Intelligent Systems Research
GTP Research
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 75 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Tue, 19 Feb 2019, 11:13:59 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.