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OverviewDecision 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. Full Product DetailsAuthor: Antonio J. Conejo , Miguel Carrión , Juan M. MoralesPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: 2010 ed. Volume: 153 Dimensions: Width: 15.50cm , Height: 2.80cm , Length: 23.50cm Weight: 0.848kg ISBN: 9781461426783ISBN 10: 1461426782 Pages: 542 Publication Date: 05 November 2012 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsElectricity Markets.- Stochastic Programming Fundamentals.- Uncertainty Characterization via Scenarios.- Risk management.- Producer Pool Trading.- Pool Trading for Wind Power Producers.- Futures Market Trading for Producers.- Medium-Term Retailer Trading.- Energy Procurement by Consumers.- Market Clearing Considering Equipment Failures.- Market Clearing under Uncertainty: Wind Energy.ReviewsFrom 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) Author InformationAntonio J. Conejo full professor at the Universidad de Castilla – La Mancha, Spain, received the M.S. from MIT and the Ph.D. from the Royal Institute of Technology, Sweden. He has published over 100 papers in prestigious journals and is the author or coauthor of books published by Springer, Wiley, McGraw-Hill and CRC. He has been the principal investigator of many research projects financed by public agencies and the power industry. He is an IEEE Fellow and a member of the editorial board of the IEEE Transactions on Power Systems. Miguel Carrión received the Ingeniero Industrial degree and the PhD degree from the Universidad de Castilla-La Mancha, Ciudad Real, Spain, in 2003 and 2008, respectively. He is currently an Assistant Professor at the Universidad de Castilla-La Mancha, Toledo, Spain. Juan M. Morales received the Ingeniero Industrial degree from the Universidad de Málaga, Spain, in 2006. He is currently working toward the Ph.D. degree at the Universidad de Castilla-La Mancha. Tab Content 6Author Website:Countries AvailableAll regions |
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