Name: Virtual Power Plants and Electricity Markets: Decision Making Under Uncertainty (en Inglés)
Price: 375743.00 COP
Availability: InStock
Author: Baringo, Luis ; Rahimiyan, Morteza
ISBN: 9783030476045

portada Virtual Power Plants and Electricity Markets: Decision Making Under Uncertainty (en Inglés)

Formato

Libro Físico

Autor

Luis Baringo

Morteza Rahimiyan

Editorial

Springer

Idioma

Inglés

N° páginas

381

Encuadernación

Tapa Blanda

Dimensiones

27.9 x 21.0 x 2.1 cm

Peso

0.89 kg.

ISBN13

9783030476045

N° edición

Categorías

Investigación operativa
Ingeniería mecánica
Tecnología y fuentes de energía alternativa y renovable

Virtual Power Plants and Electricity Markets: Decision Making Under Uncertainty (en Inglés)

Luis Baringo (Autor) · Morteza Rahimiyan (Autor) · Springer · Tapa Blanda

Libro Físico

$ 375.743

$ 751.486

Ahorras: $ 375.743

50% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Viernes 21 de Junio y el Martes 02 de Julio.

Lo recibirás en cualquier lugar de Colombia entre 1 y 5 días hábiles luego del envío.

Reseña del libro "Virtual Power Plants and Electricity Markets: Decision Making Under Uncertainty (en Inglés)"

This textbook provides a detailed analysis of operation and planning problems faced by virtual power plants participating in different electricity markets. The chapters address in-depth, topics such as: optimization, market power, expansion, and modelling uncertainty in operation and planning problems of virtual power plants. The book provides an up-to-date description of decision-making tools to address challenging questions faced by virtual power plants such as: How can virtual power plants optimize their participation in electricity markets? How can a virtual power plant exercise market power? How can virtual power plants be optimally expanded? How can uncertainty be efficiently modelled in the operation and planning problems of virtual power plants? The book is written in a tutorial style and modular format, and includes many illustrative examples to facilitate comprehension. It is intended for a diverse audience including advanced undergraduate and graduate students in the fields of electric energy systems, operations research, and economics. Practitioners in the energy sector will also benefit from the concepts and techniques presented in this book. In particular, this book: Provides students with the GAMS codes to solve the examples in the book; Provides a basis for the formulation of decision-making problems under uncertainty; Contains a blend of theoretical concepts and practical applications that are developed as working algorithms.