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Uncertainty in the Electric Power Industry : Methods and Models for Decision Support. (=International Series in Operations Research & Management Science ; 77).
Published by Berlin, Springer, 2004
Language: English
Seller: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germany
Association Member: GIAQ
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First Edition
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Add to basketHardcover. Condition: Wie neu. 1st ed. XXIII, 291 S.; Ill. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 800.
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£ 86.81
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£ 84.28
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Models, Methods and Decision Support for Management: Essays in Honor of Paul Stähly
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Uncertainty in the Electric Power Industry: Methods and Models for Decision Support (International Series in Operations Research & Management Science, 77)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Models, Methods and Decision Support for Management: Essays in Honor of Paul Stähly
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 115.54
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Uncertainty in the Electric Power Industry : Methods and Models for Decision Support
Published by Springer New York, Springer US, 2014
ISBN 10: 1441920005 ISBN 13: 9781441920003
Language: English
£ 109.67
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Around the world, liberalization and privatization in the electricity industry have lead to increased competition among utilities. At the same time, utilities are now exposed more than ever to risk and uncertainties, which they cannot pass on to their customers through price increases as in a regulated environment. Especially electricity-generating companies have to face volatile wholesale prices, fuel price uncertainty, limited long-term hedging possibilities and huge, to a large extent, sunk investments. In this context, Uncertainty in the Electric Power Industry: Methods and Models for Decision Support aims at an integrative view on the decision problems that power companies have to tackle. It systematically examines the uncertainties power companies are facing and develops models to describe them - including an innovative approach combining fundamental and finance models for price modeling. The optimization of generation and trading portfolios under uncertainty is discussed with particular focus on CHP and is linked to risk management. Here the concept of integral earnings at risk is developed to provide a theoretically sound combination of value at risk and profit at risk approaches, adapted to real market structures and market liquidity. Also methods for supporting long-term investment decisions are presented: technology assessment based on experience curves and operation simulation for fuel cells and a real options approach with endogenous electricity prices.
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Models, Methods and Decision Support for Management (Paperback)
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2012
ISBN 10: 3642633064 ISBN 13: 9783642633065
Language: English
£ 90.80
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Add to basketPaperback. Condition: new. Paperback. This title represents an ambitious undertaking, namely a broad view on the nature of intelligent decision making, which is characterized by the use of models and methods in the framework of decision support for management. With this title we want to reflect the scope of our field, but, at the same time, honor our colleague th Paul Stahly on the occasion of his 65 birthday. Paul Stahly has over decades invested his energy in developing the area of Operations Research from such a broad point of view. He has done this not only at his chairs at the HSG / University of St. Gallen and the University of Linz, but also on a broad international level as editor of ITOR and as influential member of all the Operations Research societies in the German speaking countries. He has, in particular, enriched our area by application-oriented research and industrial projects in fields such as logistics, emergency planning, [mance, and others, and he was pivotal in strengthening the cooperation between the national and international OR societies, particular in the German speaking area. VI Consequently, many colleagues who partly cooperated very closely with him, have contributed to this monograph. Some of these contributions have been presented at a colloquium in January 2001 in St. Gallen in honor of Paul Stahly. This colloquium was attended by many colleagues coming from Germany, Austria, Switzerland, Italy and even from the United States. This title represents an ambitious undertaking, namely a broad view on the nature of intelligent decision making, which is characterized by the use of models and methods in the framework of decision support for management. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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£ 114.86
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Models, Methods and Decision Support for Management
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2012
ISBN 10: 3642633064 ISBN 13: 9783642633065
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
£ 132.37
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Add to basketCondition: New. Editor(s): Kischka, Peter; Leopold-Wildburger, Ulrike; Mohring, Rolf H.; Radermacher, Franz-Josef. Num Pages: 417 pages, 35 black & white tables, biography. BIC Classification: KJT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 22. Weight in Grams: 658. . 2012. Softcover reprint of the original 1st ed. 2001. Paperback. . . . .
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£ 115.45
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Add to basketGebunden. Condition: New. The book presents a broad view on the nature of intelligent decision-making which is characterized by the use of models and methods in the framework of decision support for management. Contributions to this volume dedicated to Paul Staehly on the occasion of.
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Uncertainty in the Electric Power Industry: Methods and Models for Decision Support (International Series in Operations Research & Management Science, 77)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Paperback. Condition: Brand New. 314 pages. 9.25x6.10x0.73 inches. In Stock.
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