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Virtual Power Plants and Electricity Markets: Decision Making Under Uncertainty, Baringo Luis, Rahimiyan Morteza


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Автор: Baringo Luis, Rahimiyan Morteza
Название:  Virtual Power Plants and Electricity Markets: Decision Making Under Uncertainty
ISBN: 9783030476045
Издательство: Springer
Классификация:


ISBN-10: 3030476049
Обложка/Формат: Paperback
Страницы: 396
Вес: 0.89 кг.
Дата издания: 04.09.2021
Язык: English
Размер: 27.94 x 20.96 x 2.06 cm
Ссылка на Издательство: Link
Поставляется из: Германии
Описание: This textbook provides a detailed analysis of operation and planning problems faced by virtual power plants participating in different electricity markets.


Decision Making Under Uncertainty in Electricity Markets

Автор: Antonio J. Conejo; Miguel Carri?n; Juan M. Morales
Название: Decision Making Under Uncertainty in Electricity Markets
ISBN: 1461426782 ISBN-13(EAN): 9781461426783
Издательство: Springer
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Цена: 41787.00 р.
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Описание: This book provides models and procedures to be used by electricity market agents to make informed decisions under uncertainty. These procedures rely on well established stochastic programming models, which make them efficient and robust.

Decision Making under Deep Uncertainty

Автор: Vincent A. W. J. Marchau; Warren E. Walker; Pieter
Название: Decision Making under Deep Uncertainty
ISBN: 3030052516 ISBN-13(EAN): 9783030052515
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them.

Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work.
The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.
Decision Making Under Risk and Uncertainty

Автор: J. Geweke
Название: Decision Making Under Risk and Uncertainty
ISBN: 9401052611 ISBN-13(EAN): 9789401052610
Издательство: Springer
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Цена: 27950.00 р.
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Описание: As desired, the infonnation demand correspondence is single valued at equilibrium prices. P (F *), almost every a E A demands a unique combined infonnation structure (although traders may be indifferent among partial infonnation sales from different information allocations, etc.

Advances in Decision Making Under Risk and Uncertainty

Автор: Mohammed Abdellaoui; John D. Hey
Название: Advances in Decision Making Under Risk and Uncertainty
ISBN: 3642088007 ISBN-13(EAN): 9783642088001
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Uncertainty and Information Modeling.- Revealed Ambiguity and Its Consequences: Updating.- Dynamic Decision Making When Risk Perception Depends on Past Experience.- Representation of Conditional Preferences Under Uncertainty.- Subjective Information in Decision Making and Communication.- Risk Modeling.- Sensitivity Analysis in Decision Making: A Consistent Approach.- Alternation Bias and the Parameterization of Cumulative Prospect Theory.- Proposing a Normative Basis for the S-Shaped Value Function.- Experimental Individual Decision Making.- Individual Choice from a Convex Lottery Set: Experimental Evidence.- Temptations and Dynamic Consistency.- Monty Hall's Three Doors for Dummies.- Overconfidence in Predictions as an Effect of Desirability Bias.- Experimental Interactive Decision Making.- Granny Versus Game Theorist: Ambiguity in Experimental Games.- Guessing Games and People Behaviours: What Can We Learn?.- The Determinants of Individual Behaviour in Network Formation: Some Experimental Evidence.

Uncertainty and Environmental Decision Making

Автор: Jerzy A. Filar; Alain Haurie
Название: Uncertainty and Environmental Decision Making
ISBN: 1461425255 ISBN-13(EAN): 9781461425250
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This important new work presents the state-of-the-art in applying operations research and management science (OR/MS) techniques to a broad range of environmental decision making (EDM) challenges. The subject matter is of critical importance.

Qualitative Investment Decision-Making Methods under Hesitant Fuzzy Environments

Автор: Wei Zhou; Zeshui Xu
Название: Qualitative Investment Decision-Making Methods under Hesitant Fuzzy Environments
ISBN: 3030113485 ISBN-13(EAN): 9783030113483
Издательство: Springer
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Цена: 13974.00 р.
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Описание:

This book describes five qualitative investment decision-making methods based on the hesitant fuzzy information. They are: (1) the investment decision-making method based on the asymmetric hesitant fuzzy sigmoid preference relations, (2) the investment decision-making method based on the hesitant fuzzy trade-off and portfolio selection, (3) the investment decision-making method based on the hesitant fuzzy preference envelopment analysis, (4) the investment decision-making method based on the hesitant fuzzy peer-evaluation and strategy fusion, and (5) the investment decision-making method based on the EHVaR measurement and tail analysis.
Virtual Power Plants and Electricity Markets: Decision Making Under Uncertainty

Автор: Baringo Luis, Rahimiyan Morteza
Название: Virtual Power Plants and Electricity Markets: Decision Making Under Uncertainty
ISBN: 3030476014 ISBN-13(EAN): 9783030476014
Издательство: Springer
Цена: 11179.00 р.
Наличие на складе: Поставка под заказ.

Описание: This textbook provides a detailed analysis of operation and planning problems faced by virtual power plants participating in different electricity markets.

Investment in Electricity Generation and Transmission: Decision Making Under Uncertainty

Автор: Conejo Antonio J., Baringo Luis, Kazempour S. Jalal
Название: Investment in Electricity Generation and Transmission: Decision Making Under Uncertainty
ISBN: 3319805878 ISBN-13(EAN): 9783319805870
Издательство: Springer
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Цена: 13974.00 р.
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Описание:

Investment in Generation and Transmission Facilities.- Transmission Expansion Planning.- Generation Expansion Planning.- Generation and Transmission Expansion Planning.- Investment in Production Capacity.- Investment Equilibria.- Deciding on Alternative Investments: a Real Options Approach.

Bounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity

Автор: Joe Lorkowski; Vladik Kreinovich
Название: Bounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity
ISBN: 3319872605 ISBN-13(EAN): 9783319872605
Издательство: Springer
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Цена: 13974.00 р.
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Описание:

This book addresses an intriguing question: are our decisions rational? It explains seemingly irrational human decision-making behavior by taking into account our limited ability to process information. It also shows with several examples that optimization under granularity restriction leads to observed human decision-making. Drawing on the Nobel-prize-winning studies by Kahneman and Tversky, researchers have found many examples of seemingly irrational decisions: e.g., we overestimate the probability of rare events.Our explanation is that since human abilities to process information are limited, we operate not with the exact values of relevant quantities, but with “granules” that contain these values. We show that optimization under such granularity indeed leads to observed human behavior. In particular, for the first time, we explain the mysterious empirical dependence of betting odds on actual probabilities.This book can be recommended to all students interested in human decision-making, to researchers whose work involves human decisions, and to practitioners who design and employ systems involving human decision-making —so that they can better utilize our ability to make decisions under uncertainty.
Decision Making Under Uncertainty

Автор: Claude Greengard; Andrzej Ruszczynski
Название: Decision Making Under Uncertainty
ISBN: 1441930140 ISBN-13(EAN): 9781441930149
Издательство: Springer
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Цена: 21661.00 р.
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Описание: In the ideal world, major decisions would be made based on complete and reliable information available to the decision maker. 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.

Optimal Financial Decision Making under Uncertainty

Автор: Consigli
Название: Optimal Financial Decision Making under Uncertainty
ISBN: 3319416111 ISBN-13(EAN): 9783319416113
Издательство: Springer
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Цена: 19564.00 р.
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Описание: The scope of this volume is primarily to analyze from different methodological perspectives similar valuation and optimization problems arising in financial applications, aimed at facilitating a theoretical and computational integration between methods largely regarded as alternatives. Increasingly in recent years, financial management problems such as strategic asset allocation, asset-liability management, as well as asset pricing problems, have been presented in the literature adopting formulation and solution approaches rooted in stochastic programming, robust optimization, stochastic dynamic programming (including approximate SDP) methods, as well as policy rule optimization, heuristic approaches and others. The aim of the volume is to facilitate the comprehension of the modeling and methodological potentials of those methods, thus their common assumptions and peculiarities, relying on similar financial problems. The volume will address different valuation problems common in finance related to: asset pricing, optimal portfolio management, risk measurement, risk control and asset-liability management.The volume features chapters of theoretical and practical relevance clarifying recent advances in the associated applied field from different standpoints, relying on similar valuation problems and, as mentioned, facilitating a mutual and beneficial methodological and theoretical knowledge transfer. The distinctive aspects of the volume can be summarized as follows:

Strong benchmarking philosophy, with contributors explicitly asked to underline current limits and desirable developments in their areas.Theoretical contributions, aimed at advancing the state-of-the-art in the given domain with a clear potential for applicationsThe inclusion of an algorithmic-computational discussion of issues arising on similar valuation problems across different methods.Variety of applications: rarely is it possible within a single volume to consider and analyze different, and possibly competing, alternative optimization techniques applied to well-identified financial valuation problems.Clear definition of the current state-of-the-art in each methodological and applied area to facilitate future research directions.
Optimal Financial Decision Making Under Uncertainty

Автор: Consigli Giorgio, Kuhn Daniel, Brandimarte Paolo
Название: Optimal Financial Decision Making Under Uncertainty
ISBN: 3319823965 ISBN-13(EAN): 9783319823966
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The scope of this volume is primarily to analyze from different methodological perspectives similar valuation and optimization problems arising in financial applications, aimed at facilitating a theoretical and computational integration between methods largely regarded as alternatives.


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