TY - BOOK ID - 32841572 TI - Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs AU - Lopes, Fernando. AU - Coelho, Helder. PY - 2018 SN - 3319742639 3319742612 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Electric industries. KW - Electric power KW - Electric utilities KW - Renewable energy sources. KW - Electric power transmission KW - Marketing. KW - Economic aspects KW - Engineering. KW - Energy policy. KW - Energy and state. KW - Electric power production. KW - Computational intelligence. KW - Energy Technology. KW - Computational Intelligence. KW - Energy Policy, Economics and Management. KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - Electric power generation KW - Electricity generation KW - Power production, Electric KW - Electric power systems KW - Electrification KW - Energy and state KW - Power resources KW - State and energy KW - Industrial policy KW - Energy conservation KW - Construction KW - Industrial arts KW - Technology KW - Government policy KW - Electricity KW - Power transmission, Electric KW - Electric lines KW - Electric power distribution KW - Alternate energy sources KW - Alternative energy sources KW - Energy sources, Renewable KW - Sustainable energy sources KW - Renewable natural resources KW - Agriculture and energy KW - Electric companies KW - Electric light and power industry KW - Electric power industry KW - Electric industries KW - Energy industries KW - Public utilities KW - Electric power supply KW - Power supply, Electric KW - Industries KW - Transmission KW - Energy Systems. KW - Energy systems. UR - https://www.unicat.be/uniCat?func=search&query=sysid:32841572 AB - 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. ER -