Decision Making Under Uncertainty (eBook, PDF)

Energy and Power
Redaktion: Greengard, Claude; Ruszczynski, Andrzej

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 164
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781468492569
• Artikelnr.: 44043725

Inhaltsangabe

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.