Optimization in the Energy Industry
| Autor Corporativo: | |
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| Otros Autores: | , , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edición: | 1st ed. 2009. |
| Colección: | Energy Systems,
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| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-3-540-88965-6 |
Tabla de Contenidos:
- Challenges and Perspectives of Optimization in the Energy Industry
- Current and Future Challenges for Production Planning Systems
- The Earth Warming Problem: Practical Modeling in Industrial Enterprises
- Deterministic Methods
- Trading Hubs Construction for Electricity Markets
- A Decision Support System to Analyze the Influence of Distributed Generation in Energy Distribution Networks
- New Effective Methods of Mathematical Programming and Their Applications to Energy Problems
- Improving Combustion Performance by Online Learning
- Critical States of Nuclear Power Plant Reactors and Bilinear Modeling
- Mixed-Integer Optimization for Polygeneration Energy Systems Design
- Optimization of the Design and Partial-Load Operation of Power Plants Using Mixed-Integer Nonlinear Programming
- Optimally Running a Biomass-Based Energy Production Process
- Mathematical Modeling of Batch, Single Stage, Leach Bed Anaerobic Digestion of Organic Fraction of Municipal Solid Waste
- Spatially Differentiated Trade of Permits for Multipollutant Electric Power Supply Chains
- Applications of TRUST-TECH Methodology in Optimal Power Flow of Power Systems
- Stochastic Programming: Methods and Applications
- Scenario Tree Approximation and Risk Aversion Strategies for Stochastic Optimization of Electricity Production and Trading
- Optimization of Dispersed Energy Supply —Stochastic Programming with Recombining Scenario Trees
- Stochastic Model of the German Electricity System
- Optimization of Risk Management Problems in Generation and Trading Planning
- Optimization Methods Application to Optimal Power Flow in Electric Power Systems
- WILMAR: A Stochastic Programming Tool to Analyze the Large-Scale Integration of Wind Energy
- Stochastic Programming in Pricing
- Clean Valuation with Regard to EU Emission Trading
- Efficient Stochastic Programming Techniques for Electricity Swing Options
- Delta-Hedging a Hydropower Plant Using Stochastic Programming.