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Decision Making Under Uncertainty in Electricity Markets [recurso electrónico] / by Antonio J. Conejo, Miguel Carrión, Juan M. Morales.

Por: Conejo, Antonio J [author.]Colaborador(es): Carrión, Miguel [author.] | Morales, Juan M [author.] | SpringerLink (Online service)Tipo de material: Texto

TextoSeries International Series in Operations Research & Management Science ; 153Editor: Boston, MA : Springer US, 2010Descripción: XVIII, 542 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9781441974211Tema(s): Economics | Operations research | Production of electric energy or power | Finance | Economics/Management Science | Operations Research/Decision Theory | Power Electronics, Electrical Machines and Networks | Financial Economics | Operations Research, Mathematical ProgrammingFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 658.40301 Clasificación LoC:HD30.23Recursos en línea: Libro electrónico Texto

Contenidos:

Electricity Markets -- Stochastic Programming Fundamentals -- Uncertainty Characterization via Scenarios -- Risk management -- Producer Pool Trading -- Pool Trading for Wind Power Producers -- Futures Market Trading for Producers -- Medium-Term Retailer Trading -- Energy Procurement by Consumers -- Market Clearing Considering Equipment Failures -- Market Clearing under Uncertainty: Wind Energy.

En: Springer eBooksResumen: Decision Making Under Uncertainty in Electricity Markets 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. Particularly, these techniques allow electricity producers to derive offering strategies for the pool and contracting decisions in the futures market. Retailers use these techniques to derive selling prices to clients and energy procurement strategies through the pool, the futures market and bilateral contracting. Using the proposed models, consumers can derive the best energy procurement strategies using the available trading floors. The market operator can use the techniques proposed in this book to clear simultaneously energy and reserve markets promoting efficiency and equity. The techniques described in this book are of interest for professionals working on energy markets, and for graduate students in power engineering, applied mathematics, applied economics, and operations research.

Existencias ( 1 )
Notas de título ( 3 )

Existencias
Tipo de ítem	Biblioteca actual	Colección	Signatura	Copia número	Estado	Fecha de vencimiento	Código de barras
Libro Electrónico	Biblioteca Electrónica	Colección de Libros Electrónicos	HD30.23 (Browse shelf(Abre debajo))	1	No para préstamo		371922-2001

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Previo	HD30.23 Supply Chain Engineering	HD30.23 A Long View of Research and Practice in Operations Research and Management Science	HD30.23 Supporting Real Time Decision-Making	HD30.23 Decision Making Under Uncertainty in Electricity Markets	HD30.23 Foundations of Location Analysis	HD30.23 Benchmarking with DEA, SFA, and R	HD30.23 Perishable Inventory Systems	Siguiente

Decision Making Under Uncertainty in Electricity Markets 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. Particularly, these techniques allow electricity producers to derive offering strategies for the pool and contracting decisions in the futures market. Retailers use these techniques to derive selling prices to clients and energy procurement strategies through the pool, the futures market and bilateral contracting. Using the proposed models, consumers can derive the best energy procurement strategies using the available trading floors. The market operator can use the techniques proposed in this book to clear simultaneously energy and reserve markets promoting efficiency and equity. The techniques described in this book are of interest for professionals working on energy markets, and for graduate students in power engineering, applied mathematics, applied economics, and operations research.