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  4. Privacy Enhanced Demand Response with Reputation-based Incentive Distribution
 
conference paper not in proceedings

Privacy Enhanced Demand Response with Reputation-based Incentive Distribution

Vasirani, Matteo  
•
Wijaya, Tri Kurniawan  
•
Liassas, Georgios
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2014
International Workshop on Demand Response

Demand response (DR) is a Smart Grid application that aims at managing consumption of electricity in response to supply-side signals. The exchange of sensitive information (i.e., electricity consumption data) between the consumers and the DR provider is necessary for the functioning of DR, but at the same time it is an obstacle to its wide-spread adoption, due to the related privacy concerns. This paper proposes the use of homomorphic encrypted user aggregation and reputation-based incentive distribution to address the trade-off between enhancing user privacy and correctly assessing the contribution of each user to the demand reduction.

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Type
conference paper not in proceedings
Author(s)
Vasirani, Matteo  
Wijaya, Tri Kurniawan  
Liassas, Georgios
Aberer, Karl  
Date Issued

2014

Subjects

demand response

•

homomorphic encryption

•

privacy

•

incentives

•

reputation

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LSIR  
Event nameEvent placeEvent date
International Workshop on Demand Response

Cambridge, UK

June 10, 2014

Available on Infoscience
June 24, 2014
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/104730
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