Research on Coal Calorific Value Prediction Based on K-Means Clustering and Ridge Regression Algorithm

ObjectivesThe calorific value of coal is one of the important evaluation criteria for measuring coal quality, and is also the main basis for valuation of power coal. In order to realize high-precision and rapid prediction of coal calorific value while reducing prediction costs, a new prediction meth...

詳細記述

書誌詳細

出版年:	发电技术
主要な著者:	QIAO Shichao, CHEN Heng, LI Bo, PAN Peiyuan, XU Gang
フォーマット:	論文
言語:	英語
出版事項:	Editorial Department of Power Generation Technology 2025-02-01
主題:	coal-fired power plants calorific value of coal proximate analysis prediction k-means clustering ridge regression
オンライン･アクセス:	https://www.pgtjournal.com/article/2025/2096-4528/2096-4528-2025-46-1-135.shtml