基于机器学习的煤炭资源利用优化策略——以陕北地区为例

Optimization Strategy for Coal Resource Utilization Based on Machine Learning—Taking the Northern Shaanxi Region as an Example

摘要: 陕北地区煤炭资源丰富，是我国重要的能源化工基地。为了寻找合理的煤炭资源利用策略，实现资源的可持续发展，本文根据大量陕北地区的煤炭资源数据，包括陕北地区煤炭使用量和浪费量，并使用机器学习算法进行回归分析。首先，对数据进行预处理，去除无用信息。然后，使用五类回归模型分析煤炭使用量数据，选出最佳模型对煤炭浪费量进行准确预测。最后，制定出符合可持续发展原则的策略，减少不必要的资源浪费和环境污染，提高煤炭资源的综合利用效率。

Abstract: The northern Shaanxi region is rich in coal resources and is an important energy and chemical industry base in China. In order to find reasonable coal resource utilization strategies and achieve sustainable development of resources, this article is based on a large amount of coal resource data in the northern Shaanxi region, including coal usage and waste, and uses machine learning algorithms for regression analysis. Firstly, preprocess the data to remove useless information. Then, use five types of regression models to analyze coal usage data and select the best model to accurately predict coal waste. Finally, develop strategies that comply with the principles of sustainable development, reduce unnecessary resource waste and environmental pollution, and improve the com-prehensive utilization efficiency of coal resources.