Predicting the energy output of hybrid PV–wind renewable energy system using feature selection technique for smart grids

Qadir, Z, Khan, SI, Khalaji, E, Munawar, HS, Al-Turjman, F, Mahmud, M A Parvez, Kouzani, Abbas and Le, K 2021, Predicting the energy output of hybrid PV–wind renewable energy system using feature selection technique for smart grids, Energy Reports, pp. 1-11, doi: 10.1016/j.egyr.2021.01.018.

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Title Predicting the energy output of hybrid PV–wind renewable energy system using feature selection technique for smart grids
Author(s) Qadir, Z
Khan, SI
Khalaji, E
Munawar, HS
Al-Turjman, F
Mahmud, M A ParvezORCID iD for Mahmud, M A Parvez orcid.org/0000-0002-1905-6800
Kouzani, AbbasORCID iD for Kouzani, Abbas orcid.org/0000-0002-6292-1214
Le, K
Journal name Energy Reports
Start page 1
End page 11
Total pages 11
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2021-01-21
ISSN 2352-4847
2352-4847
Keyword(s) Smart grids
Regression models
Feature selection
Prediction accuracy
Renewable energy system
ANN
RFECV
Notes In Press
Language eng
DOI 10.1016/j.egyr.2021.01.018
Indigenous content off
Field of Research 0906 Electrical and Electronic Engineering
0913 Mechanical Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30147765

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