Abstract
Utility companies have many motivations for modifying energy consumption patterns of consumers such as revenue decoupling and demand response programs. We model the utility company-consumer interaction as a principal-agent problem and present an iterative algorithm for designing incentives while estimating the consumer's utility function.
Original language | English (US) |
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Pages | 57-58 |
Number of pages | 2 |
DOIs | |
State | Published - 2014 |
Externally published | Yes |
Event | 2014 3rd ACM International Conference on High Confidence Networked Systems, HiCoNS 2014, Part of CPSWeek 2014 - Berlin, Germany Duration: Apr 15 2014 → Apr 17 2014 |
Other
Other | 2014 3rd ACM International Conference on High Confidence Networked Systems, HiCoNS 2014, Part of CPSWeek 2014 |
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Country/Territory | Germany |
City | Berlin |
Period | 4/15/14 → 4/17/14 |
Keywords
- Energy disaggregation
- Game theory
- Incentive design
- Utility learning
ASJC Scopus subject areas
- Computer Networks and Communications