Luis Baringo, Associate Professor at the Universidad de Castilla-La Mancha, Ciudad Real, Spain,

received the Industrial Engineering degree and the Ph.D. in Electrical Engineering from the

Universidad de Castilla-La Mancha, Spain, in 2009 and 2013, respectively. In 2014, he was a

postdoctoral researcher at the Power Systems Laboratory, ETH Zurich, Switzerland. He has

published over 20 papers in SCI journals and is the author of two textbooks published by Springer.

He is an IEEE Senior Member.

Morteza Rahimiyan, Associate Professor at the Shahrood University of Technology, Shahrood,

Iran, received the B.Sc. degree from the Isfahan University of Technology, Isfahan, Iran, in

2003, as well as the M.Sc. and the Ph.D. (with honors) from the Ferdowsi University of

he was a visiting researcher at the Universidad de Castilla-La Mancha, Ciudad Real, Spain. He

has published more than 15 papers in SCI journals. He is an IEEE Member.

Provides students with the GAMS codes to solve the examples in the book;

Provides a basis for the formulation of decision-making problems under uncertainty;

Contains a blend of theoretical concepts and practical applications that are developed as working algorithms.

Virtual Power Plants.- Virtual Power Plant Model.- Optimal Scheduling of a Risk-Neutral Virtual Power Plant in Energy Markets.- Optimal Scheduling of a Risk-Averse Virtual Power Plant in Energy Markets.- Optimal Scheduling of a Virtual Power Plant in Energy and Reserve Markets.- Price-Maker Virtual Power Plants.- Expansion Planning of Virtual Power Plants.- Optimization Problems.- Optimization Under Uncertainty.