Nouf Abd Elmunim on Muck Rack

Nouf Abd Elmunim

As seen in: Nature, Taylor & Francis Online
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Articles

Enhancing wind and solar energy forecasting through time-series feature engineering and ensemble machine learning

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By Nouf Abd Elmunim, Mohamed Arbi Khlifi, Murdhy A. Aldawsari, Fahad S. Algarni, Abdullah Albalawi, Atef Ismail, Basma Hassan
| Nature Verified
Abstract Accurate short- and medium-term forecasting of renewable energy generation is essential for ensuring grid stability, operational planning, and efficient energy management. This study presents a comprehensive time-series forecasting framework for wind and solar power production based on systematic feature engineering and advanced machine learning and deep learning models.
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Metasurface covered millimeter-wave MIMO antenna array

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By Mohammad Alibakhshikenari, Iftikhar ud din, Esraa Mousa Ali, Nouf Abd Elmunim
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract This paper describes the design of a unique 26 GHz Multiple-Input, Multiple-Output (MIMO) antenna array for 5G millimeter-wave (mm-Wave) broadband applications.
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