Skip to main content
SpringerLink
Log in

Decision Making Under Uncertainty

Energy and Power

  • Conference proceedings
  • © 2002

Overview

Editors:
  1. Claude Greengard

    1. IBM Watson Research Center, Hawthorne, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Andrzej Ruszczynski

    1. Department of Management Science and Information Systems, Rutgers University, Piscataway, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: The IMA Volumes in Mathematics and its Applications (IMA, volume 128)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (7 papers)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Stochastic Programming Models: Wait-and-See Versus Here-and-Now

    • Roger J-B. Wets
    Pages 1-15

  3. Optimal Stimulation of Oil Production

    • Robert Burridge, Benoît Couët, François Auzerais, Vassilios Vassiliadis
    Pages 17-37

  4. Power Management in a Hydro-Thermal System under Uncertainty by Lagrangian Relaxation

    • Nicole Gröwe-Kuska, Krzysztof C. Kiwiel, Matthias P. Nowak, Werner Römisch, Isabel Wegner
    Pages 39-70

  5. Hedging Electricity Portfolios via Stochastic Programming

    • Stein-Erik Fleten, Stein W. Wallace, William T. Ziemba
    Pages 71-93

  6. Opportunities for Stochastic and Probabilistic Modeling in the Deregulated Electricity Industry

    • Jonathan M. Jacobs, Gary L. Schultz
    Pages 95-113

  7. On Supply Function Bidding in Electricity Markets

    • Edward J. Anderson, Andrew B. Philpott
    Pages 115-133

  8. Qualitative Implications of Uncertainty in Economic Equilibrium Models

    • Frederic H. Murphy, Suvrajeet Sen
    Pages 135-151

  9. Back Matter

    Pages 153-163
    Download chapter PDF
Back to top

Keywords

About this book

In the ideal world, major decisions would be made based on complete and reliable information available to the decision maker. We live in a world of uncertainties, and decisions must be made from information which may be incomplete and may contain uncertainty. The key mathematical question addressed in this volume is "how to make decision in the presence of quantifiable uncertainty." The volume contains articles on model problems of decision making process in the energy and power industry when the available information is noisy and/or incomplete. The major tools used in studying these problems are mathematical modeling and optimization techniques; especially stochastic optimization. These articles are meant to provide an insight into this rapidly developing field, which lies in the intersection of applied statistics, probability, operations research, and economic theory. It is hoped that the present volume will provide entry to newcomers into the field, and stimulation for further research.

Editors and Affiliations

  • IBM Watson Research Center, Hawthorne, USA

    Claude Greengard

  • Department of Management Science and Information Systems, Rutgers University, Piscataway, USA

    Andrzej Ruszczynski

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation