Incentive Design and Utility Learning via Energy Disaggregation

The utility company has 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. We present an iterative algorithm for designing incentives while estimating the consumer's utility function. Incentives are designed using the aggregated as well as the disaggregated (device level) consumption data. We simulate the iterative control (incentive design) and estimation (utility learning and disaggregation) process for examples including the design of incentives based on the aggregate consumption data as well as the disaggregated consumption data.

[1]  Eric C. Larson,et al.  Disaggregated End-Use Energy Sensing for the Smart Grid , 2011, IEEE Pervasive Computing.

[2]  Kobbi Nissim,et al.  Privacy-aware mechanism design , 2011, EC '12.

[3]  Jiyong Eom Shareholder Incentives for Utility-Based Energy Efficiency Programs in California , 2008 .

[4]  K. Schittkowski,et al.  NONLINEAR PROGRAMMING , 2022 .

[5]  K. Armel,et al.  Is disaggregation the holy grail of energy efficiency? The case of electricity , 2013 .

[6]  Henrik Ohlsson,et al.  Fundamental limits of nonintrusive load monitoring , 2013, HiCoNS.

[7]  Matthew J. Johnson,et al.  Bayesian nonparametric hidden semi-Markov models , 2012, J. Mach. Learn. Res..

[8]  G. T. Gardner,et al.  The Short List: The Most Effective Actions U.S. Households Can Take to Curb Climate Change , 2008 .

[9]  Stephen P. Boyd,et al.  Imputing a convex objective function , 2011, 2011 IEEE International Symposium on Intelligent Control.

[10]  Henrik Ohlsson,et al.  Energy disaggregation via adaptive filtering , 2013, 2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[11]  Bart De Schutter,et al.  Reverse Stackelberg games, Part I: Basic framework , 2012, 2012 IEEE International Conference on Control Applications.

[12]  Johanna L. Mathieu,et al.  Harnessing Residential Loads for Demand Response : Engineering and Economic Considerations , 2012 .

[13]  Jiyong Eom,et al.  Shareholder Incentives for Utility-Delivered Energy Efficiency Programs in California , 2009 .