794 citations · 2.6k across the 45 of their papers we have counts for
7 papers · 2 filters
Experimental Determination of Demand Response Control Models and Cost of Control for Ensembles of Window-Mount Air Conditioners
Drew A. Geller, Scott Backhaus
Control of consumer electrical devices for providing electrical grid services is expanding in both the scope and the diversity of loads that are engaged in control, but there are f…
Tractable Structure Learning in Radial Physical Flow Networks
Deepjyoti Deka, Scott Backhaus, Michael Chertkov
Physical Flow Networks are different infrastructure networks that allow the flow of physical commodities through edges between its constituent nodes. These include power grid, natu…
Learning Topology of Distribution Grids using only Terminal Node Measurements
Deepjyoti Deka, Scott Backhaus, Michael Chertkov
Distribution grids include medium and low voltage lines that are involved in the delivery of electricity from substation to end-users/loads. A distribution grid is operated in a ra…
Operations- and Uncertainty-Aware Installation of FACTS Devices in a Large Transmission System
Vladimir Frolov, Priyanko Guha Thakurta, Scott Backhaus +2
Decentralized electricity markets and more integration of renewables demand expansion of the existing transmission infrastructure to accommodate inflected variabilities in power fl…
Learning Topology of the Power Distribution Grid with and without Missing Data
Deepjyoti Deka, Scott Backhaus, Michael Chertkov
Distribution grids refer to the part of the power grid that delivers electricity from substations to the loads. Structurally a distribution grid is operated in one of several radia…
Estimating Distribution Grid Topologies: A Graphical Learning based Approach
Deepjyoti Deka, Scott Backhaus, Michael Chertkov
Distribution grids represent the final tier in electric networks consisting of medium and low voltage lines that connect the distribution substations to the end-users. Traditionall…