The deregulation of the energy industry has created
marketplaces in which producers and consumers can
operate in order to more effectively. This book
develops a new model for electricity retail where
customers may choose their supplier. It is based on
simultaneous reverse combinatorial auctions, designed
as a second-price sealed-bid multi-item auction with
supply function bidding. This mechanism prevents
strategic bidding and allows the auctioneer to
maximise its pay-off. Furthermore, we develop optimal
single-item and multi-item algorithms for winner
determination in such auctions that are significantly
less complex than those currently available in the
literature. Nevertheless, the consumption of the
energy of each singular auctioneer has to be adapted
to the submitted bids to maximise the pay-off. Thus,
this work models the constellation of energy
consumers as a distributed constraint optimisation
problem (dCOP). In order to overcome the specific
domain demands, this book presents a novel optimal
dCOP algorithm called COBB (Constraint Optimisation
By Broadcasting), and adapts state-of-the-art
counterparts. Empirical comparisons show that COBB
clearly outperforms all of them.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The deregulation of the energy industry has createdmarketplaces in which producers and consumers canoperate in order to more effectively. This bookdevelops a new model for electricity retail wherecustomers may choose their supplier. It is based onsimultaneous reverse combinatorial auctions, designedas a second-price sealed-bid multi-item auction withsupply function bidding. This mechanism preventsstrategic bidding and allows the auctioneer tomaximise its pay-off. Furthermore, we develop optimalsingle-item and multi-item algorithms for winnerdetermination in such auctions that are significantlyless complex than those currently available in theliterature. Nevertheless, the consumption of theenergy of each singular auctioneer has to be adaptedto the submitted bids to maximise the pay-off. Thus,this work models the constellation of energyconsumers as a distributed constraint optimisationproblem (dCOP). In order to overcome the specificdomain demands, this book presents a novel optimaldCOP algorithm called COBB (Constraint OptimisationBy Broadcasting), and adapts state-of-the-artcounterparts. Empirical comparisons show that COBBclearly outperforms all of them.; The deregulation of the energy industry has createdmarketplaces in which producers and consumers canoperate in order to more effectively. This bookdevelops a new model for electricity retail wherecustomers may choose their supplier. It is based onsimultaneous reverse combinatorial auctions, designedas a second-price sealed-bid multi-item auction withsupply function bidding. This mechanism preventsstrategic bidding and allows the auctioneer tomaximise its pay-off. Furthermore, we develop optimalsingle-item and multi-item algorithms for winnerdetermination in such auctions that are significantlyless complex than those currently available in theliterature. Nevertheless, the consumption of theenergy of each singular auctioneer has to be adaptedto the submitted bids to maximise the pay-off. Thus,this work models the constellation of energyconsumers as a distributed constraint optimisationproblem (dCOP). In order to overcome the specificdomain demands, this book presents a novel optimaldCOP algorithm called COBB (Constraint OptimisationBy Broadcasting), and adapts state-of-the-artcounterparts. Empirical comparisons show that COBBclearly outperforms all of them. Bestandsnummer des Verkäufers 9783639013269
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Taschenbuch. Zustand: Neu. Optimal Algorithms for Energy Markets | Allocation and Scheduling of Demand in Deregulated Energy Markets | Yoseba Peña Landaburu | Taschenbuch | Kartoniert / Broschiert | Englisch | 2013 | VDM Verlag Dr. Müller | EAN 9783639013269 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 105623113
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