Implementing Extreme Gradient Boosting (XGBoost) Algorithm in Predicting Solar Irradiance

Globally, the consistent clamor by environmentalists for the need to mitigate the effects of climate change has necessitated the adoption of renewable energy sources (RES) for use by many developed/developing nations. The approach is geared towards gradually replacing or reducing the use of fossil f...

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Veröffentlicht in:	2021 IEEE PES/IAS PowerAfrica S. 1 - 5
Hauptverfasser:	Obiora, Chibuzor N, Ali, Ahmed, Hasan, Ali N
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 23.08.2021
Schlagworte:	Artificial Intelligence Climate change Deep learning Extreme Gradient Boosting Graphics processing units Predictive models Production Renewable energy sources Solar Irradiance Support vector machines Support Vector Regression Urban areas
Online-Zugang:	Volltext
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