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Collaborative optimization of comple...

Wu, Dinghui.

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Collaborative optimization of complex energy systems = applications in iron and steel industry /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Collaborative optimization of complex energy systems/ by Dinghui Wu ... [et al.].
Reminder of title:	applications in iron and steel industry /
other author:	Wu, Dinghui.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xiii, 145 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Iron industry and trade - Energy consumption -
Online resource:	https://doi.org/10.1007/978-981-99-4550-4
ISBN:	9789819945504

Collaborative optimization of complex energy systems = applications in iron and steel industry /
Collaborative optimization of complex energy systemsapplications in iron and steel industry /[electronic resource] :by Dinghui Wu ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xiii, 145 p. :ill. (some col.), digital ;24 cm. - Engineering applications of computational methods,v. 172662-3374 ;. - Engineering applications of computational methods ;v. 17..

This book mainly focuses on the multi-media energy prediction technology and optimization methods of iron and steel enterprises. The technical methods adopted include swarm intelligence algorithm, neural network, reinforcement learning, and so on. Energy saving and consumption reduction in iron and steel enterprises have always been a research hotspot in the field of process control. This book considers the multi-media energy balance problem from the perspective of system, studies the energy flow and material flow in iron and steel enterprises, and provides energy optimization methods that can be used for planning, prediction, and scheduling under different production scenes. The main audience of this book is scholars and graduate students in the fields of control theory, applied mathematics, energy optimization, etc.

ISBN: 9789819945504

Standard No.: 10.1007/978-981-99-4550-4doiSubjects--Topical Terms:

3664959
Iron industry and trade
--Energy consumption

LC Class. No.: HD9510.5

Dewey Class. No.: 338.476691

Collaborative optimization of complex energy systems = applications in iron and steel industry /
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490 1 $a Engineering applications of computational methods, $x 2662-3374 ; $v v. 17
520 $a This book mainly focuses on the multi-media energy prediction technology and optimization methods of iron and steel enterprises. The technical methods adopted include swarm intelligence algorithm, neural network, reinforcement learning, and so on. Energy saving and consumption reduction in iron and steel enterprises have always been a research hotspot in the field of process control. This book considers the multi-media energy balance problem from the perspective of system, studies the energy flow and material flow in iron and steel enterprises, and provides energy optimization methods that can be used for planning, prediction, and scheduling under different production scenes. The main audience of this book is scholars and graduate students in the fields of control theory, applied mathematics, energy optimization, etc.
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