Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs: 144 (Studies in Systems, Decision and Control, 144) - Image 1

£119.66

Springer Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs: 144 (Studies in Systems, Decision and Control, 144)

Name: Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs: 144 (Studies in Systems, Decision and Control, 144)
Brand: Springer
Price: 119.67 GBP
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Description

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 accessiblestyle, the book also provides a coherent foundation for several different graduate courses.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3319742612
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 23 February 2018
Listed Since: 14 December 2017

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Springer Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs: 144 (Studies in Systems, Decision and Control, 144)

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