Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Privacy-preserving methods for smart-meter-based network simulations   Smart-meters are a key component of energy transition. The large amount of
data collected in near real-time allows grid operators to observe and simulate
network states. However, privacy-preserving rules forbid the use of such data
for any applications other than network operation and billing. Smart-meter
measurements must be anonymised to transmit these sensitive data to a third
party to perform network simulation and analysis. This work proposes two
methods for data anonymisation that enable the use of raw active power
measurements for network simulation and analysis. The first is based on an
allocation of an externally sourced load database. The second consists of
grouping smart-meter data with similar electric characteristics, then
performing a random permutation of the network load-bus assignment. A benchmark
of these two methods highlights that both provide similar results in
bus-voltage magnitude estimation concerning ground-truth voltage.

6
The categories of this paper are: astro-ph
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph
29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
24
The categories of this paper are: dg-ga