Deep-Neural-Network Based Nonlinear Predictive Control for Power Plant

Chen Peng (), Chuanliang Cheng () and Ling Wang ()
Additional contact information
Chen Peng: Shanghai University, School of Mechatronic Engineering and Automation
Chuanliang Cheng: Shanghai University, School of Mechatronic Engineering and Automation
Ling Wang: Shanghai University, School of Mechatronic Engineering and Automation

Chapter Chapter 8 in Reconstruction and Intelligent Control for Power Plant, 2023, pp 157-185 from Springer

Abstract: Abstract The dynamic economic optimization of ultra supercritical (USC) boiler-turbine unit has become an important task in modern power plants.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-5574-7_8

Ordering information: This item can be ordered from
http://www.springer.com/9789811955747

DOI: 10.1007/978-981-19-5574-7_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().