Mathematical modeling, simulation and optimization for power engineering and management /
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Imprint: | Cham : Springer, 2021. |
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Description: | 1 online resource (333 p.). |
Language: | English |
Series: | Mathematics in Industry ; v. 34 Mathematics in industry ; 34. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12610526 |
Table of Contents:
- 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.