This book offers a broad, in-depth overview that reflects the requirements, possibilities and limits of mathematical optimization and, especially, stochastic optimization in the energy industry.
Stochastic Optimization Methods in Finance and Energy New Financial Products and Energy Market Strategies
Bilevel Programming Problems Theory, Algorithms and Applications to Energy Networks
Optimization for Industrial Problems
Multistage Stochastic Optimization
Optimization Methods for Gas and Power Markets Theory and Cases
Handbook of Risk Management in Energy Production and Trading
Stochastic Multi-Stage Optimization At the Crossroads between Discrete Time Stochastic Control and Stochastic Programming
Decision Making Under Uncertainty Energy and Power
Stochastic Optimization Algorithms and Applications
Renewables in Future Power Systems Implications of Technological Learning and Uncertainty