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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Power Quality State Estimation for Distribution Grids based on Physics-Aware Neural Networks - Harmonic State Estimation

Authors: Mack, Patrick; de Koster, Markus; Lehnen, Patrick; Waffenschmidt, Eberhard; Stadler, Ingo;

Power Quality State Estimation for Distribution Grids based on Physics-Aware Neural Networks - Harmonic State Estimation

Abstract

Data set for the paper "Power Quality State Estimation for Distribution Grids based on Physics-Aware Neural Networks - Harmonic State Estimation" This upload contains Training set Validation set Test set Admittance matrices per frequency used for the paper as pickle files and weights of trained models as zip files. Weights represent the model with the best validation loss recorded within the first 3000 Epochs of training. Code for reading in the data sets, preprocessing and state estimation is available in the linked repository. To replicate the results of the paper follow these steps: clone the linked repository save the provided pickle files in the data folder under 'CigreLVDist' of the linked repository optional: unzip weights and save them in the data folder, otherwise train a model yourself instead

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average