LEADER 04392nam  22007335  450 
001 9910410023303321
005 20200702203010.0
010   $a3-030-36979-X
024 7 $a10.1007/978-3-030-36979-8
035   $a(CKB)4100000010661111
035   $a(DE-He213)978-3-030-36979-8
035   $a(MiAaPQ)EBC6133986
035   $a(PPN)243228678
035   $a(EXLCZ)994100000010661111
100   $a20200310d2020      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aElectricity Markets $eNew Players and Pricing Uncertainties /$fedited by Sayyad Nojavan, Kazem Zare
205   $a1st ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (IX, 270 p. 102 illus., 82 illus. in color.) 
311   $a3-030-36978-1 
327   $aThe concept of electricity markets -- Electricity market forecasting -- Electricity market price uncertainty modeling -- Generation company offering strategy and supply function equilibrium -- Transmission company scheme -- Distribution company behavior -- Loss allocation in distribution systems -- Bidding and offering strategy of retailer in smart grid -- Virtual power plant scheduling issues -- Large consumer presence in electricity market -- Demand response aggregator -- Electric vehicle aggregator -- Smart home management -- Energy hub operator -- Various degrees of liberalization and deregulation in different countries -- Impact of PV and wind power penetration on the electricity market -- Renewable energy support and other energy policies -- Electricity storage and its implications.
330   $aThis book analyzes new electricity pricing models that consider uncertainties in the power market due to the changing behavior of market players and the implementation of renewable distributed generation and responsive loads. In-depth chapters examine the different types of market players including the generation, transmission, and distribution companies, virtual power plants, demand response aggregators, and energy hubs and microgrids. Expert authors propose optimal operational models for short-term performance and scheduling and present readers with solutions for pricing challenges in uncertain environments. This book is useful for engineers, researchers and students involved in integrating demand response programs into smart grids and for electricity market operation and planning. Proposes optimal operation models; Discusses the various players in today's electricity markets; Describes the effects of demand response programs in smart grids.
606   $aEnergy policy
606   $aEnergy and state
606   $aPower electronics
606   $aEnergy systems
606   $aComputational intelligence
606   $aTrade
606   $aBusiness
606   $aCommerce
606   $aEnergy Policy, Economics and Management$3https://scigraph.springernature.com/ontologies/product-market-codes/112000
606   $aPower Electronics, Electrical Machines and Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24070
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   $aTrade$3https://scigraph.springernature.com/ontologies/product-market-codes/527010
615  0$aEnergy policy.
615  0$aEnergy and state.
615  0$aPower electronics.
615  0$aEnergy systems.
615  0$aComputational intelligence.
615  0$aTrade.
615  0$aBusiness.
615  0$aCommerce.
615 14$aEnergy Policy, Economics and Management.
615 24$aPower Electronics, Electrical Machines and Networks.
615 24$aEnergy Systems.
615 24$aComputational Intelligence.
615 24$aTrade.
676   $a333.79320688
676   $a333.793231
702   $aNojavan$b Sayyad$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aZare$b Kazem$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910410023303321
996   $aElectricity Markets$92260827
997   $aUNINA