This paper proposes a new data-based algorithm to generate pseudo-measurements in
active distribution networks with a high penetration of distributed generations and a limited …

This paper proposes a data-based algorithm to generate pseudo-measurements in Active
Distribution Networks with a high penetration of distributed generations and a limited …

Because there is insufficient measurement data when implementing state estimation in
distribution networks, this paper proposes an attention-enhanced recurrent neural network …

Power system state estimation is a crucial component of the power system, which uses real-
time measurement data to estimate the condition of the system. However, in current …

Traditionally, electricity distribution networks were designed for unidirectional power flow
without the need to accommodate generation installed at the point of use. However, with the …

In this paper, we present an efficient computational framework with the purpose of
generating weighted pseudo-measurements to improve the quality of distribution system …

In response to the issue of incomplete measurement configurations in active distribution
networks, which leads to limited accuracy in traditional state estimation and subsequently …

Distribution grids must be regularly updated to meet the global electricity demand. Some of
these updates result in fundamental changes to the structure of the grid network. Some …

Distribution system state estimation is becoming an increasingly important feature in the
modern power grid, but the lack of real measurements makes its implementation particularly …

The task of state estimation faces a major challenge due to the inherent lack of real-time
observability, as certain measurements can only be acquired with a delay. As a result, power …