東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Steel, Light Metal." ]

切換: 標籤 | MARC模式 | ISBD

Collaborative optimization of comple...

Wu, Dinghui.

FindBook

Google Book

Amazon

博客來

Collaborative optimization of complex energy systems = applications in iron and steel industry /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Collaborative optimization of complex energy systems/ by Dinghui Wu ... [et al.].
其他題名:	applications in iron and steel industry /
其他作者:	Wu, Dinghui.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xiii, 145 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Iron industry and trade - Energy consumption -
電子資源:	https://doi.org/10.1007/978-981-99-4550-4
ISBN:	9789819945504

Collaborative optimization of complex energy systems = applications in iron and steel industry /
Collaborative optimization of complex energy systemsapplications in iron and steel industry /[electronic resource] :by Dinghui Wu ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xiii, 145 p. :ill. (some col.), digital ;24 cm. - Engineering applications of computational methods,v. 172662-3374 ;. - Engineering applications of computational methods ;v. 17..

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.

ISBN: 9789819945504

Standard No.: 10.1007/978-981-99-4550-4doiSubjects--Topical Terms:

3664959
Iron industry and trade
--Energy consumption

LC Class. No.: HD9510.5

Dewey Class. No.: 338.476691

Collaborative optimization of complex energy systems = applications in iron and steel industry /
LDR:01925nmm a2200325 a 4500 001 2333868
003 DE-He213
005 20230812090211.0
006 m d
007 cr nn 008maaau
008 240402s2023 si s 0 eng d
020 $a 9789819945504 $q (electronic bk.)
020 $a 9789819945498 $q (paper)
024 7 $a 10.1007/978-981-99-4550-4 $2 doi
035 $a 978-981-99-4550-4
040 $a GP $c GP
041 0 $a eng
050 4 $a HD9510.5
072 7 $a THR $2 bicssc
072 7 $a TEC031000 $2 bisacsh
072 7 $a THR $2 thema
082 0 4 $a 338.476691 $2 23
090 $a HD9510.5 $b .C697 2023
245 0 0 $a Collaborative optimization of complex energy systems $h [electronic resource] : $b applications in iron and steel industry / $c by Dinghui Wu ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xiii, 145 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Engineering applications of computational methods, $x 2662-3374 ; $v v. 17
520 $a 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.
650 0 $a Iron industry and trade $x Energy consumption $x Mathematical models. $3 3664959
650 0 $a Steel industry and trade $x Energy consumption $x Mathematical models. $3 3664960
650 0 $a Energy conservation. $3 647269
650 1 4 $a Electrical Power Engineering. $3 3592498
650 2 4 $a Optimization. $3 891104
650 2 4 $a Industrial and Production Engineering. $3 891024
650 2 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Steel, Light Metal. $3 3591922
650 2 4 $a Energy Grids and Networks. $3 3592502
700 1 $a Wu, Dinghui. $3 3626684
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Engineering applications of computational methods ; $v v. 17. $3 3664958
856 4 0 $u https://doi.org/10.1007/978-981-99-4550-4
950 $a Energy (SpringerNature-40367)