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, MAP; Kouzani, AZ; Le, K

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

Version 2 2024-06-02, 14:09

Version 1 2021-02-02, 08:10

journal contribution

posted on 2024-06-02, 14:09 authored by Z Qadir, SI Khan, E Khalaji, HS Munawar, F Al-Turjman, MAP Mahmud, AZ Kouzani, K Le

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

History

Journal

Energy Reports

Volume

7

Pagination

8465-8475

Publisher DOI

https://doi.org/10.1016/j.egyr.2021.01.018

Open access

Yes

Link to full text

https://doi.org/10.1016/j.egyr.2021.01.018

ISSN

2352-4847

eISSN

2352-4847

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000727768800003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

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C1 Refereed article in a scholarly journal

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ELSEVIER

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Keywords

Science & Technology Technology Energy & Fuels Smart grids Regression models Feature selection Prediction accuracy Renewable energy system ANN RFECV NEURAL-NETWORKS SOLAR-RADIATION VEHICLE POWER OPTIMIZATION CONSUMPTION VALIDATION CORTEX GRNN 4008 Electrical engineering

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

History

Journal

Volume

Pagination

Publisher DOI

Open access

Link to full text

ISSN

eISSN

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Publisher

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Keywords

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