The Experts below are selected from a list of 96 Experts worldwide ranked by ideXlab platform
Alvin E Roth - One of the best experts on this subject based on the ideXlab platform.
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the dynamics of reorganization in matching Markets a laboratory experiment motivated by a natural experiment
Quarterly Journal of Economics, 2000Co-Authors: John H Kagel, Alvin E RothAbstract:We create an environment in which congestion forces agents to match inefficiently early. We then introduce one of two Centralized clearinghouse mechanisms. One of these has been successfully used to halt this kind of unraveling in a number of labor Markets, while the other has failed. When it is costlyfore rms and workers to be mismatched compared with the costs of matching early, the experimental observations reproduce the e eld observations. Furthermore, the experiment permits us to observe the transition between a deCentralized and a Centralized Market, both when the Centralized Market fails to control unraveling and when it succeeds, at a level of detail unavailable in e eld data.
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truncation strategies in matching Markets in search of advice for participants
Econometrica, 1999Co-Authors: Alvin E Roth, Uriel G RothblumAbstract:We consider the strategic options facing workers in labor Markets with Centralized Market clearing mechanisms such as those in the entry level labor Markets of a number of professions. If workers do not have detailed information about the preferences of other workers and firms, the scope of potentially profitable strategic behavior is considerably reduced, although not entirely eliminated. Specifically, we demonstrate that stating preferences that reverse the true preference order of two acceptable firms is not beneficial in a low information environment, but submitting a truncation of the true preferences may be. This gives some insight into the successful operation of these Market mechanisms.
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a natural experiment in the organization of entry level labor Markets regional Markets for new physicians and surgeons in the united kingdom
The American Economic Review, 1991Co-Authors: Alvin E RothAbstract:The histories of seven regional Markets for new physicians and surgeons in the United Kingdom are considered. Like the American Market, these Markets have experienced failures that led to the adoption of Centralized Market mechanisms. Because different regions employ different Centralized mechanisms, these Markets provide a test of the hypothesis that the success of the American Markets is related to the fact that it produces matches which are stable in the sense that no two agents mutually prefer to be matched to one another than to their assigned partners. Even in the more complex U.K. Markets, this kind of stability plays an important role. Centralized Markets that produced unstable matches in environments in which agents could act upon instabilities fared no better than the deCentralized Markets they replaced. Copyright 1991 by American Economic Association.
Raul Bajobuenestado - One of the best experts on this subject based on the ideXlab platform.
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welfare implications of capacity payments in a price capped electricity sector a case study of the texas Market ercot
Energy Economics, 2017Co-Authors: Raul BajobuenestadoAbstract:The aim of this paper is to analyze the welfare consequences of introducing capacity compensation payments in restructured and liberalized electricity Markets. For that purpose, we set up a two-stage framework in which two kinds of electricity generators, peak load and base load generators, choose their capacity investment levels first and then compete on the basis of bids in a Centralized Market to sell electricity to consumers. We use data from the Texas ERCOT to evaluate consumers' welfare. We find that the introduction of capacity payments has two countervailing effects. On the one hand, it increases the wholesale electricity price. On the other hand, it reduces price volatility and increases the reliability of the system. We find that capacity payments are more beneficial for consumers in a perfectly competitive Market than in the presence of certain degree of Market power.
Roald Line - One of the best experts on this subject based on the ideXlab platform.
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The Environmental Potential of Hyper-Scale Data Centers: Using Locational Marginal CO2 Emissions to Guide Geographical Load Shifting
2021Co-Authors: Lindberg Julia, Roald Line, Lesieutre BernardAbstract:Increasing demand for computing has lead to the development of large-scale, highly optimized data centers, which represent large loads in the electric power network. Many major computing and internet companies operate multiple data centers spread geographically across the world. Thus, these companies have a unique ability to shift computing load, and thus electric load, geographically. This paper provides a "bottom-up" load shifting model which uses data centers' geographic load flexibility to lower CO2 emissions. This model utilizes information about the locational marginal CO2 footprint of the electricity at individual nodes, but does not require direct collaboration with the system operator. We demonstrate how to calculate marginal carbon emissions, and assess the efficacy of our approach compared to a setting where the data centers bid their flexibility into a Centralized Market. We find that data center load shifting can achieve substantial reductions in CO2 emissions even with modest load shifting
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The Environmental Potential of Hyper-Scale Data Centers: Using Locational Marginal CO$_2$ Emissions to Guide Geographical Load Shifting
2020Co-Authors: Lindberg Julia, Lesieutre, Bernard C., Roald LineAbstract:Increasing demand for computing has lead to the development of large-scale, highly optimized data centers, which represent large loads in the electric power network. Many major computing and internet companies operate multiple data centers spread geographically across the world. Thus, these companies have a unique ability to shift computing load, and thus electric load, geographically. This paper provides a "bottom-up" load shifting model which uses data centers' geographic load flexibility to lower CO$_2$ emissions. This model utilizes information about the locational marginal CO$_2$ footprint of the electricity at individual nodes, but does not require direct collaboration with the system operator. We demonstrate how to calculate marginal carbon emissions, and assess the efficacy of our approach compared to a setting where the data centers bid their flexibility into a Centralized Market. We find that data center load shifting can achieve substantial reductions in CO$_2$ emissions even with modest load shifting.Comment: 9 page
Lindberg Julia - One of the best experts on this subject based on the ideXlab platform.
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The Environmental Potential of Hyper-Scale Data Centers: Using Locational Marginal CO2 Emissions to Guide Geographical Load Shifting
2021Co-Authors: Lindberg Julia, Roald Line, Lesieutre BernardAbstract:Increasing demand for computing has lead to the development of large-scale, highly optimized data centers, which represent large loads in the electric power network. Many major computing and internet companies operate multiple data centers spread geographically across the world. Thus, these companies have a unique ability to shift computing load, and thus electric load, geographically. This paper provides a "bottom-up" load shifting model which uses data centers' geographic load flexibility to lower CO2 emissions. This model utilizes information about the locational marginal CO2 footprint of the electricity at individual nodes, but does not require direct collaboration with the system operator. We demonstrate how to calculate marginal carbon emissions, and assess the efficacy of our approach compared to a setting where the data centers bid their flexibility into a Centralized Market. We find that data center load shifting can achieve substantial reductions in CO2 emissions even with modest load shifting
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The Environmental Potential of Hyper-Scale Data Centers: Using Locational Marginal CO$_2$ Emissions to Guide Geographical Load Shifting
2020Co-Authors: Lindberg Julia, Lesieutre, Bernard C., Roald LineAbstract:Increasing demand for computing has lead to the development of large-scale, highly optimized data centers, which represent large loads in the electric power network. Many major computing and internet companies operate multiple data centers spread geographically across the world. Thus, these companies have a unique ability to shift computing load, and thus electric load, geographically. This paper provides a "bottom-up" load shifting model which uses data centers' geographic load flexibility to lower CO$_2$ emissions. This model utilizes information about the locational marginal CO$_2$ footprint of the electricity at individual nodes, but does not require direct collaboration with the system operator. We demonstrate how to calculate marginal carbon emissions, and assess the efficacy of our approach compared to a setting where the data centers bid their flexibility into a Centralized Market. We find that data center load shifting can achieve substantial reductions in CO$_2$ emissions even with modest load shifting.Comment: 9 page
Goran Strbac - One of the best experts on this subject based on the ideXlab platform.
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deCentralized participation of flexible demand in electricity Markets part i Market mechanism
IEEE Transactions on Power Systems, 2013Co-Authors: Dimitrios Papadaskalopoulos, Goran StrbacAbstract:In the deregulated power systems setting, the realization of the significant demand flexibility potential should be coupled with its integration in electricity Markets. Centralized Market mechanisms raise communication, computational and privacy issues while existing dynamic pricing schemes fail to realize the actual value of demand flexibility. In this two-part paper, a novel day-ahead pool Market mechanism is proposed, combining the solution optimality of Centralized mechanisms with the deCentralized demand participation structure of dynamic pricing schemes and based on Lagrangian relaxation (LR) principles. Part I presents the theoretical background, algorithmic approaches and suitable examples to address challenges associated with the application of the mechanism and provides an implementation framework. Non-convexities in reschedulable demand participants' price response and their impacts on the ability of the basic LR structure to reach feasible Market clearing solutions are identified and a simple yet effective LR heuristic method is developed to produce both feasible and high quality solutions by limiting the concentrated shift of reschedulable demand to the same low-priced time periods.