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Collaborative Optimization of Complex Energy Systems - Applications in Iron and Steel Industry (1st ed. 2023)
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Collaborative Optimization of Complex Energy Systems - Applications in Iron and Steel Industry (1st ed. 2023)
Series: Engineering Applications of Computational Methods, 17
Expected to ship within 10 - 15 working days
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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.
General
| Imprint: |
Springer Verlag, Singapore
|
| Country of origin: |
Singapore |
| Series: |
Engineering Applications of Computational Methods, 17 |
| Release date: |
August 2023 |
| First published: |
2023 |
| Authors: |
Dinghui Wu
• Junyan Fan
• Shenxin Lu
• Jing Wang
• Yong Zhu
• Hongtao Hu
|
| Dimensions: |
235 x 155mm (L x W) |
| Pages: |
147 |
| Edition: |
1st ed. 2023 |
| ISBN-13: |
978-981-9945-49-8 |
| Categories: |
Books
Promotions
|
| LSN: |
981-9945-49-6 |
| Barcode: |
9789819945498 |
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