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...

Full description

Saved in:
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 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
Data of publication: 20191000
ISSN: 1432-7643
EISSN: 1433-7479
Discipline: Engineering
Computer Science
Online Access: Fulltext
Database: Web of Science - Science Citation Index Expanded - 2019
Web of Knowledge
Science Citation Index Expanded
Web of Science
Academic OneFile (A&I only)
Database information Databases - DBIS