AutoML for calorific value prediction using a large database from the coal gasification practices in China
Yuchao Guo1
Xia Liu1
Yunfei Gao1
Xiaoyu Wang1
Lu Ding1
Weitong Pan1
Cheng Hua2
Yulian He3
Xueli Chen1
Zhenghua Dai1
Guangsuo Yu1
Fuchen Wang1
1.Institute of Clean Coal Technology,East China University of Science and Technology,Shanghai 200237,China2.Antai College of Economics and Management,Shanghai Jiao Tong University,Shanghai 200230,China3.University of Michigan-Shanghai Jiao Tong University Joint Institute,Shanghai 200240,China;School of Chemistry and Chemical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China
摘要：Calorific value is one of the most important properties of coal.Machine learning(ML)can be used in the prediction of calorific value to reduce experimental costs.China is one of the world's largest coal production countries and coal occupies an important position in its national energy structure.However,ML models with a large database for the overall regions of China are still missing.Based on the extensive coal gasification practices in East China University of Science and Technology,we have built ML models with a large database for overall regions of China.An AutoML model was proposed and achieved a minimum MSE of 1.021.SHAP method was used to increase the model interpretability,and model validity was proved with literature data and additional in-house experiments.The model adaptability was discussed based on the databases of China and USA,showing that geography-specific ML models are essential.This study integrated a large coal database and AutoML method for accurate calorific value prediction and could offer key tools for Chinese coal industry.
机标关键词：predictiondatabaselargechinafromautomlcalorificcoal
论文发表日期：2025-08-31
在线出版日期：2026-01-30（本平台首次上网日期，不代表文献的发表时间）
页数：17( 230-246 )
英文信息