Remodelling State-Space Prediction with Deep Neural Networks for Probabilistic Load Forecasting Arora, P, Khosravi, Abbas, Panigrahi, BK and Suganthan, PN 2022, Remodelling State-Space Prediction with Deep Neural Networks for Probabilistic Load Forecasting, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6, no. 3, pp. 628-637, doi: 10.1109/TETCI.2021.3064028. Attached Files Name Description MIMEType Size Downloads Title Remodelling State-Space Prediction with Deep Neural Networks for Probabilistic Load Forecasting Author(s) Arora, P Khosravi, Abbas orcid.org/0000-0001-6927-0744 Panigrahi, BK Suganthan, PN Journal name IEEE Transactions on Emerging Topics in Computational Intelligence Volume number 6 Issue number 3 Start page 628 End page 637 Total pages 10 Publisher IEEE Place of publication Piscataway, N.J. Publication date 2022-06 ISSN 2471-285X 2471-285X Keyword(s) Computational modeling Computer Science Computer Science, Artificial Intelligence Forecasting GENERATION INTERVAL load Load forecasting Load modeling Mathematical model Predictive models probabilistic QUANTILE REGRESSION RNN Science & Technology state-space State-space methods Technological innovation Technology Language eng DOI 10.1109/TETCI.2021.3064028 HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30150051 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 Fri, 16 Apr 2021, 08:13:02 EST Sat, 17 Apr 2021, 05:01:15 EST Mon, 19 Apr 2021, 08:01:22 EST Sat, 22 Jan 2022, 01:30:13 EST Tue, 28 Jun 2022, 08:48:58 EST Tue, 28 Jun 2022, 12:13:46 EST Tue, 28 Jun 2022, 12:23:26 EST Mon, 04 Jul 2022, 06:08:24 EST Tue, 19 Jul 2022, 11:08:21 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 4 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Fri, 16 Apr 2021, 08:13:02 EST