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Collaborative Optimization of Complex Energy Systems von Dinghui Wu

Applications in Iron and Steel Industry
CHF 178.00 inkl. MwSt.
ISBN: 978-981-9945-49-8
Einband: Fester Einband
Verfügbarkeit: in der Regel innert 10 Werktagen lieferbar. Abweichungen werden nach Bestelleingang per Mail gemeldet.
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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.

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.

AutorWu, Dinghui / Fan, Junyan / Hu, Hongtao / Wang, Jing / Zhu, Yong / Lu, Shenxin
EinbandFester Einband
Erscheinungsjahr2023
Seitenangabe160 S.
LieferstatusFolgt in ca. 10 Arbeitstagen
AusgabekennzeichenEnglisch
AbbildungenHC runder Rücken kaschiert
MasseH24.1 cm x B16.0 cm x D1.5 cm 412 g
Auflage2023
ReiheEngineering Applications of Computational Methods
VerlagSpringer Nature Singapore

Alle Bände der Reihe "Engineering Applications of Computational Methods"

Über den Autor Dinghui Wu

Dr. Dinghui Wu received the Ph.D. degree in Control Science and Engineering with Jiangnan University and now is a Visiting Fellow with the School of Computer and electronic engineering, University of Denver, the US. His current research interests include energy optimization control technology, fault diagnosis of power systems, and edge calculation. Since Nov. 2019, Dr. Wu has been in School of Internet of Things Engineering, Jiangnan University, Wuxi, China, as a Professor.    Ms. Juan Zhang received the master's degree in Electrical Engineering with Jiangnan University, China, in 2021. She began her doctoral program with Jiangnan University, China, in 2021. Her current research interests include fault diagnosis of power systems and random matrix theory.   Mr. Junyan Fan received master's degree in mechatronics engineering with Jiangsu Ocean University, China, in 2021. He began his doctoral program with Jiangnan University, China,in 2021. His current research interests include energy prediction and energy optimization.   Ms. Dandan Tang received the bachelor's degree in Electrical Engineering with Jiangnan University, Chinäin 2020. She began her master's program with Jiangnan University, China, in 2020. Her current research interests include distributed fault diagnosis of deep learning and federated learning.

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