  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.
