Mathematical modeling, simulation and optimization for power engineering and management / / Simone GoÌttlich, Michael Herty, Anja Milde, editors |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (XV, 325 p. 134 illus., 101 illus. in color.) |
Disciplina | 620.00151 |
Collana | Mathematics in industry |
Soggetto topico | Electric power - Germany - Mathematical models |
ISBN | 3-030-62732-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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. |
Record Nr. | UNINA-9910482980003321 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Mathematical modeling, simulation and optimization for power engineering and management / / Simone GoÌttlich, Michael Herty, Anja Milde, editors |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (XV, 325 p. 134 illus., 101 illus. in color.) |
Disciplina | 620.00151 |
Collana | Mathematics in industry |
Soggetto topico | Electric power - Germany - Mathematical models |
ISBN | 3-030-62732-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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. |
Record Nr. | UNISA-996466414803316 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Reduced-Order Modeling (ROM) for Simulation and Optimization : Powerful Algorithms as Key Enablers for Scientific Computing / / edited by Winfried Keiper, Anja Milde, Stefan Volkwein |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (184 pages) |
Disciplina | 511.8 |
Soggetto topico |
Mathematical models
Computer-aided engineering Control engineering Robotics Mechatronics Energy systems Applied mathematics Engineering mathematics Numerical analysis Mathematical Modeling and Industrial Mathematics Computer-Aided Engineering (CAD, CAE) and Design Control, Robotics, Mechatronics Energy Systems Applications of Mathematics Numerical Analysis |
ISBN | 3-319-75319-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910300119103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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