語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Mathematical Modeling, Simulation an...
~
SpringerLink (Online service)
Mathematical Modeling, Simulation and Optimization for Power Engineering and Management
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Mathematical Modeling, Simulation and Optimization for Power Engineering and Management/ edited by Simone Göttlich, Michael Herty, Anja Milde.
其他作者:
Milde, Anja.
面頁冊數:
XV, 325 p. 134 illus., 101 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Mathematical Modeling and Industrial Mathematics. -
電子資源:
https://doi.org/10.1007/978-3-030-62732-4
ISBN:
9783030627324
Mathematical Modeling, Simulation and Optimization for Power Engineering and Management
Mathematical Modeling, Simulation and Optimization for Power Engineering and Management
[electronic resource] /edited by Simone Göttlich, Michael Herty, Anja Milde. - 1st ed. 2021. - XV, 325 p. 134 illus., 101 illus. in color.online resource. - Mathematics in Industry,342198-3283 ;. - Mathematics in Industry,34.
Part 1 : Economic Aspects -- Chapter 1. Modeling the Intraday Electricity Demand in Germany -- Chapter 2. Application of continuous stochastic processes in energy market models -- Chapter 3. Probabilistic analysis of solar power supply using D-vine copulas based on meteorological variables -- Part 2: Technical Applications -- Chapter 4. Given – Shape Optimization for Gas Turbines in Volatile Energy Networks -- Chapter 5. Using the Stein Two-Stage Procedure to Calculate Uncertainty in a System for Determining Gas Qualities -- Chapter 6. Energy-efficient High Temperature Processes via Shape Optimization -- Chapter 7. Power-to-Chemicals: A Superstructure Problem for Sustainable Syn-gas Production -- Part 3: Energy Networks -- Chapter 8. Optimization and Stabilization of Hierarchical Electrical Networks -- Chapter 9. New Time Step Strategy for Multi-Period Optimal Power Flow Problems -- Chapter 10. Reducing transmission losses via reactive power control -- Chapter 11. MathEnergy – Mathematical Key Technologies for Evolving Energy Grids -- Chapter 12. Modeling and simulation of sector-coupled energy networks: A gas- power benchmark -- Chapter 13. Coupling of Two Hyperbolic Systems by Solving Half-Riemann Problems -- Chapter 14. District Heating Networks – Dynamic Simulation and Optimal Operation.
This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. It collects current contributions on innovative methods and algorithms. Advances in mathematical techniques and scientific computing methods are presented centering around economic aspects, technical realization and large-scale networks. Over twenty authors focus on the mathematical modeling of such future systems with careful analysis of desired properties and arising scales. Numerical investigations include efficient methods for the simulation of possibly large-scale interconnected energy systems and modern techniques for optimization purposes to guarantee stable and reliable future operations. The target audience comprises research scientists, researchers in the R&D field, and practitioners. Since the book highlights possible future research directions, graduate students in the field of mathematical modeling or electrical engineering may also benefit strongly. .
ISBN: 9783030627324
Standard No.: 10.1007/978-3-030-62732-4doiSubjects--Topical Terms:
669172
Mathematical Modeling and Industrial Mathematics.
LC Class. No.: TA329-348
Dewey Class. No.: 620.00151
Mathematical Modeling, Simulation and Optimization for Power Engineering and Management
LDR
:03811nam a22004095i 4500
001
1052682
003
DE-He213
005
20210902071643.0
007
cr nn 008mamaa
008
220103s2021 sz | s |||| 0|eng d
020
$a
9783030627324
$9
978-3-030-62732-4
024
7
$a
10.1007/978-3-030-62732-4
$2
doi
035
$a
978-3-030-62732-4
050
4
$a
TA329-348
072
7
$a
TBJ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
TBJ
$2
thema
082
0 4
$a
620.00151
$2
23
245
1 0
$a
Mathematical Modeling, Simulation and Optimization for Power Engineering and Management
$h
[electronic resource] /
$c
edited by Simone Göttlich, Michael Herty, Anja Milde.
250
$a
1st ed. 2021.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
XV, 325 p. 134 illus., 101 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Mathematics in Industry,
$x
2198-3283 ;
$v
34
505
0
$a
Part 1 : Economic Aspects -- Chapter 1. Modeling the Intraday Electricity Demand in Germany -- Chapter 2. Application of continuous stochastic processes in energy market models -- Chapter 3. Probabilistic analysis of solar power supply using D-vine copulas based on meteorological variables -- Part 2: Technical Applications -- Chapter 4. Given – Shape Optimization for Gas Turbines in Volatile Energy Networks -- Chapter 5. Using the Stein Two-Stage Procedure to Calculate Uncertainty in a System for Determining Gas Qualities -- Chapter 6. Energy-efficient High Temperature Processes via Shape Optimization -- Chapter 7. Power-to-Chemicals: A Superstructure Problem for Sustainable Syn-gas Production -- Part 3: Energy Networks -- Chapter 8. Optimization and Stabilization of Hierarchical Electrical Networks -- Chapter 9. New Time Step Strategy for Multi-Period Optimal Power Flow Problems -- Chapter 10. Reducing transmission losses via reactive power control -- Chapter 11. MathEnergy – Mathematical Key Technologies for Evolving Energy Grids -- Chapter 12. Modeling and simulation of sector-coupled energy networks: A gas- power benchmark -- Chapter 13. Coupling of Two Hyperbolic Systems by Solving Half-Riemann Problems -- Chapter 14. District Heating Networks – Dynamic Simulation and Optimal Operation.
520
$a
This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. It collects current contributions on innovative methods and algorithms. Advances in mathematical techniques and scientific computing methods are presented centering around economic aspects, technical realization and large-scale networks. Over twenty authors focus on the mathematical modeling of such future systems with careful analysis of desired properties and arising scales. Numerical investigations include efficient methods for the simulation of possibly large-scale interconnected energy systems and modern techniques for optimization purposes to guarantee stable and reliable future operations. The target audience comprises research scientists, researchers in the R&D field, and practitioners. Since the book highlights possible future research directions, graduate students in the field of mathematical modeling or electrical engineering may also benefit strongly. .
650
2 4
$a
Mathematical Modeling and Industrial Mathematics.
$3
669172
650
1 4
$a
Engineering Mathematics.
$3
1203947
650
0
$a
Mathematical models.
$3
527886
650
0
$a
Engineering mathematics.
$3
562757
700
1
$a
Milde, Anja.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1202736
700
1
$a
Herty, Michael.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1357434
700
1
$a
Göttlich, Simone.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1357433
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030627317
776
0 8
$i
Printed edition:
$z
9783030627331
776
0 8
$i
Printed edition:
$z
9783030627348
830
0
$a
Mathematics in Industry,
$x
2198-3283 ;
$v
34
$3
1357435
856
4 0
$u
https://doi.org/10.1007/978-3-030-62732-4
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入