Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Structure Learning and Statistical Estimation in Distribution Networks -
  Part II   Part I of this paper discusses the problem of learning the operational
structure of the grid from nodal voltage measurements. In this work (Part II),
the learning of the operational radial structure is coupled with the problem of
estimating nodal consumption statistics and inferring the line parameters in
the grid. Based on a Linear-Coupled (LC) approximation of AC power flows
equations, polynomial time algorithms are designed to complete these tasks
using the available nodal complex voltage measurements. Then the structure
learning algorithm is extended to cases with missing data, where available
observations are limited to a fraction of the grid nodes. The efficacy of the
presented algorithms are demonstrated through simulations on several
distribution test cases.

33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
19
The categories of this paper are: eess
35
The categories of this paper are: mtrl-th
1
The categories of this paper are: cs
24
The categories of this paper are: dg-ga
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph
4
The categories of this paper are: cond-mat