中国矿业大学主页平台系统 Xianyong Peng--Home-- Immunological AI Optimizer Deployment in a 330 MW Lignite-Fired Unit for NOx Abatement

Supervisor of Master's Candidates

E-Mail:

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:Wechat: Yak_MaoNiu888

Degree:Doctor

Discipline:Power Engineering and Engineering Thermal Physics

Current position: Home > Scientific Research > Paper Publications

基于双向门控循环单元的脱硫系统pH预测模型

Release time:2025-10-14 Hits:

DOI number:10.3390/en18123032

Affiliation of Author(s):低碳能源与动力工程学院

Funded by:其他课题

First Author:Swirski, Konrad

Co-author:Sladewski, Lukasz,Wojdan, Konrad,Xianyong Peng

Indexed by:Journal paper

Volume:卷: 18期: 12

Translation or Not:no

Date of Publication:2025-06-07