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Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs (Paperback, Softcover reprint of the original 1st ed. 2018) Loot Price: R4,966
Discovery Miles 49 660
Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging...

Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs (Paperback, Softcover reprint of the original 1st ed. 2018)

Fernando Lopes, Helder Coelho

Series: Studies in Systems, Decision and Control, 144

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Loot Price R4,966 Discovery Miles 49 660 | Repayment Terms: R465 pm x 12*

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This book describes the common ground between electricity markets (EMs) and software agents (or artificial intelligence generally). It presents an up-to-date introduction to EMs and intelligent agents, and offers a comprehensive description of the research advances and key achievements related to existing and emerging market designs to reliably and efficiently manage the potential challenges of variable generation (VG). Most EMs are unique in their complex relationships between economics and the physics of energy, but were created without the notion that large penetrations of variable generation (VG) would be part of the supply mix. An advanced multi-agent approach simulates the behavior of power markets over time, particularly markets with large-scale penetrations of renewable resources. It is intended as a reference book for researchers, academics and industry practitioners, but given the scope of the chapters and the highly accessible style, the book also provides a coherent foundation for several different graduate courses.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Studies in Systems, Decision and Control, 144
Release date: June 2019
First published: 2018
Editors: Fernando Lopes • Helder Coelho
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 327
Edition: Softcover reprint of the original 1st ed. 2018
ISBN-13: 978-3-319-89273-3
Categories: Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-319-89273-8
Barcode: 9783319892733

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