Price-based online mechanisms for settings with uncertain future procurement costs and multi-unit demand
Price-based online mechanisms for settings with uncertain future procurement costs and multi-unit demand
  We examine the use of online mechanism design in settings where consumers have multi-unit demand, goods are procured and allocated over time, and future procurement costs are uncertain and only become known at the time of allocation. An important application with such characteristics is demand response, where electricity wholesale prices depend on overall demand and the availability of renewables. We formulate this as a mechanism design problem and focus specifically on the property that the mechanism does not revoke any allocated items. In this setting, we characterise a class of price-based mechanisms that guarantee dominant-strategy incentive compatibility, individual rationality, and no cancellation. We present three specific such mechanisms in this domain and evaluate them in an electric vehicle charging setting. By using extensive numerical simulations, we show that a mechanism based on the first-come first-served principle performs well in settings where future procurement costs can be estimated reliably or supply is very tight, while a responsive mechanism performs very well when the estimated procurement costs are highly uncertain and supply is not as tight. We moreover show that a well-defined price-based mechanism can lead to high profits for the operator of the mechanism in many real-world situations.
  309-317
  
    Association for Computing Machinery
   
  
    
      Hayakawa, Keiichiro
      
        29e1e6b7-c964-44c2-85be-e4495188032b
      
     
  
    
      Gerding, Enrico
      
        d9e92ee5-1a8c-4467-a689-8363e7743362
      
     
  
    
      Stein, Sebastian
      
        cb2325e7-5e63-475e-8a69-9db2dfbdb00b
      
     
  
    
      Shiga, Takahiro
      
        bf654efd-51e9-4b6e-8f06-8158d27135a4
      
     
  
  
   
  
  
    
    
  
    
      July 2018
    
    
  
  
    
      Hayakawa, Keiichiro
      
        29e1e6b7-c964-44c2-85be-e4495188032b
      
     
  
    
      Gerding, Enrico
      
        d9e92ee5-1a8c-4467-a689-8363e7743362
      
     
  
    
      Stein, Sebastian
      
        cb2325e7-5e63-475e-8a69-9db2dfbdb00b
      
     
  
    
      Shiga, Takahiro
      
        bf654efd-51e9-4b6e-8f06-8158d27135a4
      
     
  
       
    
 
  
    
      
  
  
  
  
    Hayakawa, Keiichiro, Gerding, Enrico, Stein, Sebastian and Shiga, Takahiro
  
  
  
  
   
    (2018)
  
  
    
    Price-based online mechanisms for settings with uncertain future procurement costs and multi-unit demand.
  
  
  
  
   In 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018). 
  
      Association for Computing Machinery. 
          
          
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      Record type:
      Conference or Workshop Item
      (Paper)
      
      
    
   
    
    
      
        
          Abstract
          We examine the use of online mechanism design in settings where consumers have multi-unit demand, goods are procured and allocated over time, and future procurement costs are uncertain and only become known at the time of allocation. An important application with such characteristics is demand response, where electricity wholesale prices depend on overall demand and the availability of renewables. We formulate this as a mechanism design problem and focus specifically on the property that the mechanism does not revoke any allocated items. In this setting, we characterise a class of price-based mechanisms that guarantee dominant-strategy incentive compatibility, individual rationality, and no cancellation. We present three specific such mechanisms in this domain and evaluate them in an electric vehicle charging setting. By using extensive numerical simulations, we show that a mechanism based on the first-come first-served principle performs well in settings where future procurement costs can be estimated reliably or supply is very tight, while a responsive mechanism performs very well when the estimated procurement costs are highly uncertain and supply is not as tight. We moreover show that a well-defined price-based mechanism can lead to high profits for the operator of the mechanism in many real-world situations.
         
      
      
        
          
            
  
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      Accepted/In Press date: 24 January 2018
 
    
      Published date: July 2018
 
    
  
  
    
  
    
  
    
     
        Venue - Dates:
        17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018, , Stockholm, Sweden, 2018-07-10 - 2018-07-15
      
    
  
    
  
    
  
    
  
    
  
    
  
  
        Identifiers
        Local EPrints ID: 417793
        URI: http://eprints.soton.ac.uk/id/eprint/417793
        
        
        
        
          PURE UUID: b2c29d1d-8c32-410a-a9db-6b5a4cf1cb10
        
  
    
        
          
        
    
        
          
            
              
            
          
        
    
        
          
            
              
            
          
        
    
        
          
        
    
  
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  Date deposited: 14 Feb 2018 17:30
  Last modified: 16 Mar 2024 03:57
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      Contributors
      
          
          Author:
          
            
            
              Keiichiro Hayakawa
            
          
        
      
          
          Author:
          
            
              
              
                Enrico Gerding
              
              
                
              
            
            
          
         
      
          
          Author:
          
            
              
              
                Sebastian Stein
              
              
                
              
            
            
          
         
      
          
          Author:
          
            
            
              Takahiro Shiga
            
          
        
      
      
      
    
  
   
  
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