136 citations · 246 across the 25 of their papers we have counts for
8 papers · 1 filter
Blind Identification via Lifting
Henrik Ohlsson, Lillian J. Ratliff, Roy Dong +1
Blind system identification is known to be an ill-posed problem and without further assumptions, no unique solution is at hand. In this contribution, we are concerned with the task…
Incentive Design and Utility Learning via Energy Disaggregation
Lillian J. Ratliff, Roy Dong, Henrik Ohlsson +1
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 compan…
Fundamental Limits of Nonintrusive Load Monitoring
Roy Dong, Lillian Ratliff, Henrik Ohlsson +1
Provided an arbitrary nonintrusive load monitoring (NILM) algorithm, we seek bounds on the probability of distinguishing between scenarios, given an aggregate power consumption sig…
Energy Disaggregation via Adaptive Filtering
Roy Dong, Lillian J. Ratliff, Henrik Ohlsson +1
The energy disaggregation problem is recovering device level power consumption signals from the aggregate power consumption signal for a building. We show in this paper how the dis…
Nonlinear Basis Pursuit
Henrik Ohlsson, Allen Y. Yang, Roy Dong +1
In compressive sensing, the basis pursuit algorithm aims to find the sparsest solution to an underdetermined linear equation system. In this paper, we generalize basis pursuit to f…
A Dynamical Systems Approach to Energy Disaggregation
Roy Dong, Lillian Ratliff, Henrik Ohlsson +1
Energy disaggregation, also known as non-intrusive load monitoring (NILM), is the task of separating aggregate energy data for a whole building into the energy data for individual…