An advanced short-term wind power forecasting framework based on the optimized deep neural network models Jalali, SMJ, Ahmadian, S, Khodayar, M, Khosravi, Abbas, Shafie-khah, M, Nahavandi, Saeid and Catalão, JPS 2022, An advanced short-term wind power forecasting framework based on the optimized deep neural network models, International Journal of Electrical Power and Energy Systems, vol. 141, pp. 1-13, doi: 10.1016/j.ijepes.2022.108143. Title An advanced short-term wind power forecasting framework based on the optimized deep neural network models Author(s) Jalali, SMJ Ahmadian, S Khodayar, M Khosravi, Abbas orcid.org/0000-0001-6927-0744 Shafie-khah, M Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Catalão, JPS Journal name International Journal of Electrical Power and Energy Systems Volume number 141 Article ID 108143 Start page 1 End page 13 Total pages 13 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2022-10 ISSN 0142-0615 Keyword(s) Deep neural networks Evolutionary computation Neuroevolution Optimization Wind power forecasting Language eng DOI 10.1016/j.ijepes.2022.108143 Field of Research 0906 Electrical and Electronic Engineering HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30166843 Document type: Journal Article Collection: Institute for Intelligent Systems Research and Innovation (IISRI) Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system 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 Wed, 20 Apr 2022, 09:42:29 EST Wed, 20 Apr 2022, 14:43:04 EST Sun, 03 Jul 2022, 06:03:10 EST Thu, 21 Jul 2022, 10:43:09 EST Thu, 21 Jul 2022, 10:45:13 EST Thu, 21 Jul 2022, 13:53:41 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 10 Abstract Views  -  Detailed Statistics Created: Wed, 20 Apr 2022, 09:42:29 EST