<span style="mso-fareast-language: EN-IN;">Global Wind Energy Generation Trends and Projections: A Comprehensive Analysis to 2050

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Abstract

This research presents a detailed evaluation of global wind power generation, employing cutting-edge machine learning methods to forecast future trends and capacities through 2050. Reviewing the past data of various countries, we construct predictive models for analyzing the potential increase in wind power generation, capacity factors, and regional differences. Using polynomial regression and random forest methods, we project high growth in wind energy production, pointing to the key importance of installed capacity, technology, and geographical diversity in deciding the fate of renewable energy. Our research establishes the feasibility of high growth in wind power generation, and trends indicating significant improvement in most parts of the world.

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