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Handbook of Risk Management in Energy Production and Trading

  • Book
  • © 2013

Overview

  • First modern book to consider financial and production risk in energy markets
  • Examines markets and prices, decision making, renewable sources, and long term risk
  • Contributing authors are some of the biggest names in the field?

Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 199)

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Table of contents (18 chapters)

  1. Long Term and Political Risks

Keywords

About this book

This book presents an overview of the risks involved in modern electricity production, delivery and trading, including technical risk in production, transportation and delivery, operational risk for the system operators, market risks for traders, and political and other long term risks in strategic management. Using decision making under uncertainty as a methodological background, the book is divided into four parts, with Part I focusing on energy markets, particularly electricity markets. Topics include a nontechnical overview of energy markets and their main properties, basic price models for energy commodity prices, and modeling approaches for electricity price processes.

Part II looks at optimal decisions in managing energy systems, including hydropower dispatch models, cutting plane algorithms and approximative dynamic programming; hydro-thermal production; renewable; stochastic investments and operational optimization models for natural gas transport; decision making in operating electricity networks; and investment in extending energy production systems.

Part III explores pricing, including electricity swing options and the pricing of derivatives with volume control. Part IV looks at long-term and political risks, including energy systems under aspects of climate change, and catastrophic operational risks, particularly risks from terrorist attacks.

Editors and Affiliations

  • Department of Statistics & OR, University of Vienna, Wien, Austria

    Raimund M. Kovacevic, Georg Ch. Pflug

  • Department of IT & Mathematical Methods, University of Bergamo, Dalmine, Italy

    Maria Teresa Vespucci

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