Using XGBoost Model with Feature Selection Techniques for Wind Speed Forecasting

Hamza Hanif, Ahmer Shaheem Tahir, Rimsha Sheikh, Dania Anjum
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Abstract

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, ecofriendly, freely available in nature in vast quantities and most importantly, they give a chance to create a carbonfree environment.
利用XGBoost模型和特征选择技术进行风速预报
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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