Furnace operation optimization with hybrid model based on mechanism and data analytics

The operation optimization problem of furnace process (OOPFP) is to obtain an optimal setting of furnace temperatures to make the reheated slabs have suitable temperature distribution with minimum energy consumption and oxide loss. Since the furnace process is complex, dynamic, and nonlinear, it is...

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Bibliographic details
Volume: 23
Main Author: Xia, Qiong
Wang, Xianpeng
Tang, Lixin
Format: Journal Article
Language: English
Zielgruppe: Academic
Place of publication: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2019
SPRINGER
Springer
Springer Nature B.V
published in: Soft computing (Berlin, Germany) Vol. 23; no. 19; pp. 9551 - 9571
Editor: Chen, Mu-Yen
Pham, Hoang
Mercaldo, Francesco
Lu, Huimin
Sangaiah, Arun Kumar
ORCID: 0000-0001-8132-9446
0000-0002-9950-5169
Data of publication: 20191000
ISSN: 1432-7643
1433-7479
EISSN: 1433-7479
Discipline: Engineering
Computer Science
Subjects:
Online Access: Fulltext
Database: Web of Science - Science Citation Index Expanded - 2019
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Science Citation Index Expanded
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