LEADER 04097nam  22006135  450 
001 9910299949903321
005 20200701013558.0
010   $a3-319-74263-9
024 7 $a10.1007/978-3-319-74263-2
035   $a(CKB)3840000000347858
035   $a(MiAaPQ)EBC5296108
035   $a(DE-He213)978-3-319-74263-2
035   $a(PPN)224639307
035   $a(EXLCZ)993840000000347858
100   $a20180214d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aElectricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs /$fedited by Fernando Lopes, Helder Coelho
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (327 pages) $cillustrations, tables
225 1 $aStudies in Systems, Decision and Control,$x2198-4182 ;$v144
311   $a3-319-74261-2 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aOverview of Wholesale Electricity Markets -- Market Prices in a Power Market with more than 50% Wind Power -- Incentivizing Flexibility in System Operations -- Requirements for Strategic Reserves in a Liberalized Market with Wind Power -- Renewable Generation, Support Policies and the Merit Order Effect: A Comprehensive Overview and the Case of Wind Power in Portugal -- Demand Response in Electricity Markets: An Overview and a Study of the Price-effect on the Iberian Daily Market -- Multi-Agent Electricity Markets and Smart Grids Simulation with Connection to Real Physical Resources.
330   $aThis book describes the common ground between electricity markets (EMs) and software agents (or artificial intelligence generally). It presents an up-to-date introduction to EMs and intelligent agents, and offers a comprehensive description of the research advances and key achievements related to existing and emerging market designs to reliably and efficiently manage the potential challenges of variable generation (VG). Most EMs are unique in their complex relationships between economics and the physics of energy, but were created without the notion that large penetrations of variable generation (VG) would be part of the supply mix. An advanced multi-agent approach simulates the behavior of power markets over time, particularly markets with large-scale penetrations of renewable resources. It is intended as a reference book for researchers, academics and industry practitioners, but given the scope of the chapters and the highly accessible style, the book also provides a coherent foundation for several different graduate courses.
410  0$aStudies in Systems, Decision and Control,$x2198-4182 ;$v144
606   $aEnergy systems
606   $aComputational intelligence
606   $aEnergy policy
606   $aEnergy and state
606   $aEnergy Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/115000
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aEnergy Policy, Economics and Management$3https://scigraph.springernature.com/ontologies/product-market-codes/112000
615  0$aEnergy systems.
615  0$aComputational intelligence.
615  0$aEnergy policy.
615  0$aEnergy and state.
615 14$aEnergy Systems.
615 24$aComputational Intelligence.
615 24$aEnergy Policy, Economics and Management.
676   $a381.456213
702   $aLopes$b Fernando$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aCoelho$b Helder$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299949903321
996   $aElectricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs$92531940
997   $aUNINA