Collaborative Optimization of Complex Energy Systems

Applications in Iron and Steel Industry de

Éditeur :

Springer


Collection :

Engineering Applications of Computational Methods

Paru le : 2023-08-12

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Description

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.
Pages
145 pages
Collection
Engineering Applications of Computational Methods
Parution
2023-08-12
Marque
Springer
EAN papier
9789819945498
EAN PDF
9789819945504

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
4096 Ko
Prix
147,69 €
EAN EPUB
9789819945504

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
22036 Ko
Prix
147,69 €