Collaborative Optimization of Complex Energy Systems: Applications in Iron and Steel Industry | Agenda Bookshop Skip to content
Selected Colleen Hoover Books at €9.99c | In-store & Online
Selected Colleen Hoover Books at €9.99c | In-store & Online
A01=Dinghui Wu
A01=Hongtao Hu
A01=Jing Wang
A01=Junyan Fan
A01=Shenxin Lu
A01=Yong Zhu
Age Group_Uncategorized
Age Group_Uncategorized
Author_Dinghui Wu
Author_Hongtao Hu
Author_Jing Wang
Author_Junyan Fan
Author_Shenxin Lu
Author_Yong Zhu
automatic-update
Category1=Non-Fiction
Category=GPFC
Category=PBU
Category=TGP
Category=THR
Category=THRD
Category=TJFM
Category=TNK
COP=Singapore
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Active
softlaunch

Collaborative Optimization of Complex Energy Systems: Applications in Iron and Steel Industry

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.

See more
Current price €119.69
Original price €132.99
Save 10%
A01=Dinghui WuA01=Hongtao HuA01=Jing WangA01=Junyan FanA01=Shenxin LuA01=Yong ZhuAge Group_UncategorizedAuthor_Dinghui WuAuthor_Hongtao HuAuthor_Jing WangAuthor_Junyan FanAuthor_Shenxin LuAuthor_Yong Zhuautomatic-updateCategory1=Non-FictionCategory=GPFCCategory=PBUCategory=TGPCategory=THRCategory=THRDCategory=TJFMCategory=TNKCOP=SingaporeDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Activesoftlaunch

Will deliver when available. Publication date 04 Sep 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 14 Aug 2024
  • Publisher: Springer Verlag Singapore
  • Publication City/Country: Singapore
  • Language: English
  • ISBN13: 9789819945528

About Dinghui WuHongtao HuJing WangJunyan FanShenxin LuYong Zhu

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 USA. 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 Jiangnan University as a professor.   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.   Mr. Shenxin Lu received bachelors degree in Electrical Engineering with Luoyang Institute of Science and Technology China in 2020. He took a successive postgraduate and doctoral programs of study at Jiangnan University China in 2022. His current research interests include energy scheduling and deep learning.   Ms. Jing Wang obtained a master's degree in power system and automation from Wuhan University China in 2002. Her main research directions include metallurgical industry energy management informatization low-carbon energy-saving technology energy process control automation multi-media energy scheduling optimization process industry smart manufacturing etc.   Mr. Yong Zhu received his bachelor's degree in engineering from Huaqiao University China in 2019. He began his master program with Jiangnan University China in 2020. His current research interests are energy prediction.   Mr. Hongtao Hu received his bachelor's degree in engineering from Huainan Normal University China in 2019.He began his master 's degree at Jiangnan University China in 2020. His current research interests are energy optimal scheduling of iron and steel enterprises under multiple working conditions.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept