Decision Making under Uncertainty in Electricity Markets provides models and procedures to be used by electricity market agents to make informed decisions under uncertainty. These procedures rely on well established stochastic programming models, which make them efficient and robust. Particularly, these techniques allow electricity producers to derive offering strategies for the pool and contracting decisions in the futures market. Retailers use these techniques to derive selling prices to clients and energy procurement strategies through the pool, the futures market and bilateral contracting. Using the proposed models, consumers can derive the best energy procurement strategies using the available trading floors. The market operator can use the techniques proposed in this book to clear simultaneously energy and reserve markets promoting efficiency and equity. The techniques described in this book are of interest for professionals working on energy markets, and for graduate students in power engineering, applied mathematics, applied economics, and operations research.
From the reviews:
"This book includes a number of stochastic programming models for optimal decision making under uncertainty in electricity markets. ... Being adapted for both teaching and learning purposes, this book contains a lot of examples, the list of references includes 143 works." (Vitali Oscarovich Groppen, Zentralblatt MATH, Vol. 1209, 2011)
"This book includes a number of stochastic programming models for optimal decision making under uncertainty in electricity markets. ... Being adapted for both teaching and learning purposes, this book contains a lot of examples, the list of references includes 143 works." (Vitali Oscarovich Groppen, Zentralblatt MATH, Vol. 1209, 2011)