Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-24T15:10:17.814329Z
Paper Citation Record · LEDGER
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder
As of 19 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:1907.11738.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
20 of 20 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8e81d822-9e10-4d27-a53b-1a3a8bda9a45 · outbound
This paper cites Synchronized phasor measurement applications in power systems.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder Synchronized phasor measurement applications in power systems
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.244412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 44be702e-33e2-4610-a974-19d363f88a4b · outbound
This paper cites A Multi -model Combination Approach for Probabilistic Wind Power Forecasting.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder A Multi -model Combination Approach for Probabilistic Wind Power Forecasting
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.234506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6d2c4ecd-a76c-4f36-9918-f30993cce0f7 · outbound
This paper cites A new fault-location algorithm for series-compensated double-circuit transmission lines based on the distributed parameter model.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder A new fault-location algorithm for series-compensated double-circuit transmission lines based on the distributed parameter model
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.238044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e390b199-0a2d-4ecf-a6f6-6b8865f3199a · outbound
This paper cites Online Calibratio n of Phasor Measurement Unit U sing Density-Based Spatial Clustering.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder Online Calibratio n of Phasor Measurement Unit U sing Density-Based Spatial Clustering
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.232283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 32ef02e7-e401-4cac-896c-e771cd5bdbec · outbound
This paper cites A Nonlinear Regression Application via Machine Learning Techniques for Geomagnetic Data Reconstruction Processing.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder A Nonlinear Regression Application via Machine Learning Techniques for Geomagnetic Data Reconstruction Processing
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.229298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 75148c71-6bf4-4d61-9e83-600a0f2f4bca · outbound
This paper cites High - dimensional and large -scale anomaly detection using a linear one - class SVM with deep learning.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder High - dimensional and large -scale anomaly detection using a linear one - class SVM with deep learning
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.222213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ab57de41-12c8-4833-b73b-84069bb829d9 · outbound
This paper cites A simple method for reconstructing a high -quality NDVI time-series data set based on the Savitzky –Golay filter.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder A simple method for reconstructing a high -quality NDVI time-series data set based on the Savitzky –Golay filter
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.217894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fa32fe45-d59c-4e73-840b-b5311b1de978 · outbound
This paper cites Interpolation, realization, and reconstruction of noisy, irregularly sampled data.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder Interpolation, realization, and reconstruction of noisy, irregularly sampled data
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.247810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b8a4de16-13ac-46ab-93e7-c14c57225ba5 · outbound
This paper cites Multimodal autoencoder: A dee p learning approach to filling in missing sensor data and enabling better mood prediction.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder Multimodal autoencoder: A dee p learning approach to filling in missing sensor data and enabling better mood prediction
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.216102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c09b8dfc-6b2f-4911-9bd2-24241d6d6f93 · outbound
This paper cites Reconstructing Cloud-Contaminated Multispectral Images With Contextualized Autoencoder Neural Networks.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder Reconstructing Cloud-Contaminated Multispectral Images With Contextualized Autoencoder Neural Networks
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.235287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5622ad09-6d75-4985-b6d7-58b345f0c293 · outbound
This paper cites Noi se removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder Noi se removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.226364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 91de69b6-f46e-4d4f-8acb-1644ced6072d · outbound
This paper cites Re construction of seismic data with missing traces using normalized gaussian weighted filter.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder Re construction of seismic data with missing traces using normalized gaussian weighted filter
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.206637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f4a35984-2139-4736-b7a6-dd0b14a12dc4 · outbound
This paper cites Reconstructing missing data in state estimation with autoencoders.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder Reconstructing missing data in state estimation with autoencoders
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.241303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8c9fcede-906f-4450-ae0b-69a37000c9c4 · outbound
This paper cites Split -brain autoencoders: Unsupervised learning by cross -channel prediction.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder Split -brain autoencoders: Unsupervised learning by cross -channel prediction
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.220573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2dca0e82-fc82-4d84-880a-0be797b052e9 · outbound
This paper cites Analytical investigation of autoencoder-based methods for unsupervised anomaly detection in building energy data.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder Analytical investigation of autoencoder-based methods for unsupervised anomaly detection in building energy data
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.204524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 33109b4e-402e-4c75-9293-5ee1a78c5d48 · outbound
This paper cites Generalized autoencoder: A neural network framework for dimensionality reduction.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder Generalized autoencoder: A neural network framework for dimensionality reduction
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.195171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cf332852-6bd7-498c-bbcb-f013283b1b77 · outbound
This paper cites Extracting a nd composing robust features with denoising autoencoders.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder Extracting a nd composing robust features with denoising autoencoders
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.197519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7aeb909e-1262-4ec8-940c-14185dacd323 · outbound
This paper cites Autoencoders, unsupervised learning, and deep architectures.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder Autoencoders, unsupervised learning, and deep architectures
Reference 18
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- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.202232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cb616203-4e58-4da4-a7fe-65fd0d011e78 · outbound
This paper cites Long short-term memory.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder Long short-term memory
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.250485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0fe9014f-ae81-4297-9b74-6e6a3ddfc40a · outbound
This paper cites A taxonom y of North American radial distribution feeders.
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder A taxonom y of North American radial distribution feeders
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T15:16:15.209898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.