Using XGBoost Model with Feature Selection Techniques for Wind Speed Forecasting

Hamza Hanif, Ahmer Shaheem Tahir, Rimsha Shaikh, 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, eco-friendly, freely available in nature in vast quantities and most importantly, they give a chance to create a carbon-free 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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