activity
20132024
most citedOn Gradient-Based Learning in Continuous Games

78 citations · 333 across the 57 of their papers we have counts for

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Showing 2013Show all

6 papers · 1 filter

eess.SY2013

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…

math.DS2013

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…

stat.AP2013★ 3 cited

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…

stat.AP2013★ 2 cited

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…

math.DS2013★ 3 cited

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…

eess.SY2013★ 7 cited

Blind Identification of ARX Models with Piecewise Constant Inputs

Henrik Ohlsson, Lillian Ratliff, Roy Dong +1

Blind system identification is known to be a hard ill-posed problem and without further assumptions, no unique solution is at hand. In this contribution, we are concerned with the…