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Business & Management - Operations Research & Decision Theory | Decision Making Under Uncertainty in Electricity Markets

Decision Making Under Uncertainty in Electricity Markets

Conejo, Antonio J., Carrión, Miguel, Morales, Juan M.

2010, XVIII, 542 p.

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  • Addresses essentially all operational problems that arise in electricity markets
  • Applications encompass areas in applied mathematics and business, as well as electrical and energy engineering
  • Author is known worldwide as a leader in the field of electricity markets
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.

Content Level » Research

Keywords » Electricity Markets - Futures - Futures markets - Trading - algorithms - decision making - electricity - modeling - operations research - programming - stochastic programming - uncertainty

Related subjects » Applications - Energy Technology - Financial Economics - Operations Research & Decision Theory

Table of contents 

Electricity 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.

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