利用XGBoost模型和特征选择技术进行风速预报

International journal of economic and environment geology Pub Date : 2023-03-11 DOI:10.46660/ijeeg.v12i4.78

Hamza Hanif, Ahmer Shaheem Tahir, Rimsha Shaikh, Dania Anjum

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引用次数: 0

摘要

可再生能源在当今世界产生电力输出非常重要，这解释了在全球变暖和化石燃料供应有限的情况下，每个政府和政策制定者现在一天都更喜欢可再生能源的主要原因(Twidell和Weir, 2021)。可再生能源是无害的，无污染的，生态友好的，在自然界中大量免费提供，最重要的是，它们提供了一个创造无碳环境的机会。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Using XGBoost Model with Feature Selection Techniques for Wind Speed Forecasting

Renewable Energy Sources have a lot of importance in today’s world to produce an electrical output which explains the main reasons that every government and policy maker now a days prefer Renewable Energy in the wake of global warming and limited availability of fossil fuels (Twidell and Weir, 2021). The Renewable Energy Sources are hazardless, pollution free, eco-friendly, freely available in nature in vast quantities and most importantly, they give a chance to create a carbon-free environment.

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International journal of economic and environment geology

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