24 citations · 76 across the 58 of their papers we have counts for
4 papers · 1 filter
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…
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…