中国矿业大学主页平台系统 Xianyong Peng--Home-- A Data-Driven Approach for the Ultra-Supercritical Boiler Combustion Optimization Considering Ambient Temperature Variation: A Case Study in China

School/Department:低碳能源与动力工程学院

Education Level:The graduate student is educated

Business Address:低碳能源与动力工程学院，计算机楼B211

Gender:Male

Contact Information:xianyong.peng@cumt.edu.cn

Degree:Doctor

Alma Mater:东南大学

Current position: Home > Scientific Research > Paper Publications

A Data-Driven Approach for the Ultra-Supercritical Boiler Combustion Optimization Considering Ambient Temperature Variation: A Case Study in China

Release time:2024-02-09 Hits:

DOI number:10.3390/pr11102889

Affiliation of Author(s):低碳能源与动力工程学院

Funded by:自选课题

First Author:Wang, Zhi

Co-author:Yao, Guojia,Xue, Wenyuan,Cao, Shengxian,Xu, Shiming,Xianyong Peng

Indexed by:Journal paper

Document Code:5b5bb2948ce7bd50018cec772ab11525

Volume:卷: 11期: 10

Translation or Not:no

Date of Publication:2023-10-01