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

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

In the current technological era, predicting the power and energy output based on the changing weather factors play an important role in the economic growth of the renewable energy sector. Unlike traditional fossil fuel-based resources, renewable energy sources potentially play a pivotal role in sus...

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Détails bibliographiques
Auteurs principaux: Zakria Qadir, Sara Imran Khan, Erfan Khalaji, Hafiz Suliman Munawar, Fadi Al-Turjman, M.A. Parvez Mahmud, Abbas Z. Kouzani, Khoa Le
Format: article
Langue:EN
Publié: Elsevier 2021
Sujets:
Smart grids
Regression models
Feature selection
Prediction accuracy
Renewable energy system
ANN
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Accès en ligne:https://doaj.org/article/d8721812563f4c18b53d563c2d556fd4
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https://doaj.org/article/d8721812563f4c18b53d563c2d556fd4

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