Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2566468.2576849 | HiCoNS |
Keywords | Field | DocType |
principal-agent problem,utility company-consumer interaction,demand response program,revenue decoupling,utility function,incentive design,utility learning,iterative algorithm,utility company,modifying energy consumption pattern,energy efficiency,game theory | Revenue,Mathematical optimization,Incentive,Efficient energy use,Iterative method,Computer science,Demand response,Game theory,Transferable utility,Energy consumption,Distributed computing | Conference |
Citations | PageRank | References |
1 | 0.35 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lillian J. Ratliff | 1 | 87 | 23.32 |
| Roy Dong | 2 | 79 | 12.05 |
| Henrik Ohlsson | 3 | 305 | 25.91 |
| Shankar Sastry | 4 | 11977 | 1291.58 |