Collaborative Optimization of Complex Energy Systems: Applications in Iron and Steel Industry
Wu, Dinghui, Fan, Junyan, Lu, Shenxin
- 出版商: Springer
- 出版日期: 2024-08-14
- 售價: $5,710
- 貴賓價: 9.5 折 $5,425
- 語言: 英文
- 頁數: 145
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9819945526
- ISBN-13: 9789819945528
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相關主題
商品描述
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.
商品描述(中文翻譯)
本書主要聚焦於鋼鐵企業的多媒體能源預測技術與優化方法。所採用的技術方法包括群體智慧演算法、神經網絡、強化學習等。鋼鐵企業的節能減排一直是過程控制領域的研究熱點。本書從系統的角度考慮多媒體能源平衡問題，研究鋼鐵企業中的能源流動和物料流動，並提供可用於不同生產場景下規劃、預測和排程的能源優化方法。本書的主要讀者為控制理論、應用數學、能源優化等領域的學者和研究生。
作者簡介
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 bachelor's 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.
作者簡介(中文翻譯)
吳丁輝博士於江南大學獲得控制科學與工程的博士學位，目前是美國丹佛大學計算機與電子工程學院的訪問研究員。他目前的研究興趣包括能源優化控制技術、電力系統故障診斷及邊緣計算。自2019年11月以來，吳博士在江南大學物聯網學院擔任教授。
范俊彥先生於2021年在中國江蘇海洋大學獲得機電工程碩士學位。他於2021年開始在江南大學攻讀博士學位。他目前的研究興趣包括能源預測和能源優化。
陸申鑫先生於2020年在中國洛陽理工學院獲得電氣工程學士學位。他於2022年在江南大學進行連續的研究生及博士學位學習。他目前的研究興趣包括能源調度和深度學習。
王晶女士於2002年在中國武漢大學獲得電力系統與自動化碩士學位。她的主要研究方向包括冶金行業能源管理資訊化、低碳節能技術、能源過程控制自動化、多媒體能源調度優化、過程工業智能製造等。
朱勇先生於2019年在中國華僑大學獲得工程學士學位。他於2020年開始在江南大學攻讀碩士學位。他目前的研究興趣是能源預測。
胡洪濤先生於2019年在中國淮南師範大學獲得工程學士學位。他於2020年在江南大學開始攻讀碩士學位。他目前的研究興趣是多種工作條件下鋼鐵企業的能源最佳調度。
