Decision Making Under Uncertainty

Energy and Power

Claude Greengard, Andrzej Ruszczynski

154 pages, parution le 08/07/2002

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Résumé

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.

Contents

Foreward
Preface
Stochastic programming models: wait-and-see versus here-and-now
Optimal stimulation of oil production
Power management in a hydro-thermal system under uncertainty by Lagrangian relaxation
Hedging electricity portfolios via stochastic programming
Opportunities for stochastic and probabilistic modeling in the deregulated electricity industry
On supply function bidding in electricity markets
Qualitative implications of uncertainty in economic equilibrium models
List of workshop participants.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Claude Greengard, Andrzej Ruszczynski
Parution	08/07/2002
Nb. de pages	154
Format	16 x 24
Couverture	Relié
Poids	380g
Intérieur	Noir et Blanc
EAN13	9780387954653
ISBN13	978-0-387-95465-3