A very readable expository approach appropriate for students, researchers and practitioners.
First book to apply robust optimization to electric energy systems.
Conejo is the most prominent researcher in electric systems, and Sun is quickly rising in the field.

Provide a self-contained overview of robust optimization techniques for decision making under Demonstrates when and how to apply robust optimization to electric energy systems Each chapter contains end-of-chapter problems, making it suitable for use as a text

Autorentext

Andy Sun is an assistant professor in the Stewart School of Industrial & Systems Engineering at Georgia Tech, USA. Dr. Sun conducts research in optimization and stochastic modeling with applications in electric energy systems and electricity markets. He also works on theory and algorithms for robust and stochastic optimization, and large scale convex optimization. Antonio J. Conejo received an M.S. from MIT, US and a Ph.D. from the Royal Institute of Technology, Sweden. He has published over 190 papers in refereed journals and is the author or coauthor of books published by Springer, John Wiley, McGraw-Hill and CRC Press. He has been the principal investigator of many research projects financed by public agencies and the power industry and has supervised 19 PhD theses. He is an IEEE Fellow.

Klappentext

A very "readable" expository approach appropriate for students, researchers and practitioners. First book to apply robust optimization to electric energy systems. Conejo is the most prominent researcher in electric systems, and Sun is quickly rising in the field.

Inhalt
Chapter 1: Decision Making under Uncertainty in the Power Sector.- Chapter 2: Static Robust Optimization.- Chapter 3: Adaptive Robust Optimization.- Chapter 4: Distributionally Robust Optimization.- Chapter 5: Hybrid Adaptive Robust Optimization Models.- Chapter 6: Robust Optimization in Short-Term Power System Operations .- Chapter 7: Medium-Term Planning Models.- Chapter 8: Long-Term Planning Models.