This volume in the SpringerBriefs in Energy series offers a systematic review of unit commitment (UC) problems in electrical power generation. It updates texts written in the late 1990s and early 2000s by including the fundamentals of both UC and state-of-the-art modeling as well as solution algorithms and highlighting stochastic models and mixed-integer programming techniques. The UC problems are mostly formulated as mixed-integer linear programs, although there are many variants. A number of algorithms have been developed for, or applied to, UC problems, including dynamic programming, Lagrangian relaxation, general mixed-integer programming algorithms, and Benders decomposition. In addition the book discusses the recent trends in solving UC problems, especially stochastic programming models, and advanced techniques to handle large numbers of integer- decision variables due to scenario propagation

The Handbook of CO2in Power Systems' objective is to include the state-of-the-art developments that occurred in power systems taking CO2emission into account. The book includes power systems operation modeling with CO2emissions considerations, CO2market mechanism modeling, CO2regulation policy modeling, carbon price forecasting, and carbon capture modeling. For each of the subjects, at least one article authored by a world specialist on the specific domain is included.

The Handbook of CO in Power Systems' objective is to include the state-of-the-art developments that occurred in power systems taking CO emission into account. The book includes power systems operation modeling with CO emissions considerations, CO market mechanism modeling, CO regulation policy modeling, carbon price forecasting, and carbon capture modeling. For each of the subjects, at least one article authored by a world specialist on the specific domain is included."