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Data-driven Missing Data Imputation for Wind Farms Using Context Encoder

https://doi.org/10.35833/mpce.2020.000894
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-04167-0_14openalex-snapshot
Data Imputation of Wind Turbine Using Generative Adversarial Nets with Deep Learning Models
inferredcites →https://doi.org/10.1016/j.apenergy.2015.03.121openalex-snapshot
The Wind Integration National Dataset (WIND) Toolkit
inferredcites →https://doi.org/10.1016/j.ymssp.2019.106610openalex-snapshot
A novel wind turbine data imputation method with multiple optimizations based on GANs
inferredcites →https://doi.org/10.1049/iet-gtd.2019.1317openalex-snapshot
Probabilistic multi‐objective state estimation‐based PMU placement in the presence of bad data and missing measurements
inferredcites →https://doi.org/10.1109/access.2020.2976500openalex-snapshot
Denoising Autoencoder-Based Missing Value Imputation for Smart Meters
inferredcites →https://doi.org/10.1109/access.2020.2989350openalex-snapshot
Modeling Daily Load Profiles of Distribution Network for Scenario Generation Using Flow-Based Generative Network
inferredcites →https://doi.org/10.1109/cieec47146.2019.cieec-2019284openalex-snapshot
Fill Missing Data for Wind Farms Using Long Short-Term Memory Based Recurrent Neural Network
inferredcites →https://doi.org/10.1109/cvpr.2016.278openalex-snapshot
Context Encoders: Feature Learning by Inpainting
inferredcites →https://doi.org/10.1109/ei2.2017.8245452openalex-snapshot
A missing data complement method based on K-means clustering analysis
inferredcites →https://doi.org/10.1109/icassp.2018.8462549openalex-snapshot
Edge-Aware Context Encoder for Image Inpainting
inferredcites →https://doi.org/10.1109/icpsasia48933.2020.9208409openalex-snapshot
Missing Load Situation Reconstruction Based on Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/jsen.2020.3009265openalex-snapshot
Missing Data Problem in the Monitoring System: A Review
inferredcites →https://doi.org/10.1109/mapr49794.2020.9237759openalex-snapshot
A multi-scale context encoder for high quality restoration of facial images
inferredcites →https://doi.org/10.1109/metric.2004.1357895openalex-snapshot
An evaluation of k-nearest neighbour imputation using likert data
inferredcites →https://doi.org/10.1109/pmaps.2016.7764057openalex-snapshot
Data completing of missing wind power data based on adaptive BP neural network
inferredcites →https://doi.org/10.1109/tbdata.2020.2979443openalex-snapshot
Missing Air Pollution Data Recovery Based on Long-Short Term Context Encoder
inferredcites →https://doi.org/10.1109/tbme.2018.2874712openalex-snapshot
Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/tits.2016.2530312openalex-snapshot
Data-Driven Imputation Method for Traffic Data in Sectional Units of Road Links
inferredcites →https://doi.org/10.1109/tnnls.2019.2890970openalex-snapshot
Natural Language Statistical Features of LSTM-Generated Texts
inferredcites →https://doi.org/10.1109/tpwrs.2018.2817214openalex-snapshot
Parameters Estimation of Electromechanical Oscillation With Incomplete Measurement Information
inferredcites →https://doi.org/10.1109/tsmcc.2006.875407openalex-snapshot
Using genetic algorithms to estimate confidence intervals for missing spatial data
inferredcites →https://doi.org/10.1109/tsp.2019.2899816openalex-snapshot
Parameter Estimation of Heavy-Tailed AR Model With Missing Data Via Stochastic EM
inferredcites →https://doi.org/10.1109/tste.2013.2284490openalex-snapshot
Calibration of a Wind Farm Wind Speed Model With Incomplete Wind Data
inferredcites →https://doi.org/10.1109/tste.2014.2304971openalex-snapshot
Vertically Correlated Echelon Model for the Interpolation of Missing Wind Speed Data
inferredcites →https://doi.org/10.1109/tste.2018.2866543openalex-snapshot
Adaptive Confidence Boundary Modeling of Wind Turbine Power Curve Using SCADA Data and Its Application
inferredcites →https://doi.org/10.23919/cjee.2019.000025openalex-snapshot
A missing power data filling method based on improved random forest algorithm
inferredcites →https://doi.org/10.35833/mpce.2018.000672openalex-snapshot
Automatic Discontinuity Classification of Wind-turbine Blades Using A-scan-based Convolutional Neural Network
inferredcites →https://doi.org/10.35833/mpce.2019.000159openalex-snapshot
Fully Distributed State Estimation for Power System with Information Propagation Algorithm
inferredcites →https://doi.org/10.35833/mpce.2020.000210openalex-snapshot
Robust Voltage Control Considering Uncertainties of Renewable Energies and Loads via Improved Generative Adversarial Network
inferredcites →https://doi.org/10.35833/mpce.2020.000552openalex-snapshot
Reinforcement Learning and Its Applications in Modern Power and Energy Systems: A Review

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4667787openalex-extracted
Probabilistic Wind Power Forecasting Resilient to Missing Values: An Adaptive Quantile Regression Approach
inferred← citeshttps://doi.org/10.1002/joc.8433openalex-snapshot
Evolution of wind speed observed in Brazil between 1961 and 2020
inferred← citeshttps://doi.org/10.1016/j.apenergy.2024.124893openalex-snapshot
Real-time Error Compensation Transfer Learning with Echo State Networks for Enhanced Wind Power Prediction
inferred← citeshttps://doi.org/10.1016/j.egyr.2023.01.079openalex-snapshot
The impact of load-PV profile resolution on distribution system risk assessment
inferred← citeshttps://doi.org/10.1016/j.energy.2024.131544openalex-snapshot
Probabilistic wind power forecasting resilient to missing values: An adaptive quantile regression approach
inferred← citeshttps://doi.org/10.1016/j.energy.2025.139525openalex-snapshot
A novel spatiotemporal feature fusion-based GAN framework for SCADA data imputation of wind turbines
inferred← citeshttps://doi.org/10.1016/j.epsr.2022.108614openalex-snapshot
Short-term power prediction for renewable energy using hybrid graph convolutional network and long short-term memory approach
inferred← citeshttps://doi.org/10.1016/j.epsr.2024.111163openalex-snapshot
Data-driven adaptive Lyapunov function based graphical deep convolutional neural network for smart grid congestion management
inferred← citeshttps://doi.org/10.1016/j.ijepes.2025.110878openalex-snapshot
A CGAN-based adversarial attack method for data-driven state estimation
inferred← citeshttps://doi.org/10.1016/j.jksuci.2023.101816openalex-snapshot
1D Convolutional LSTM-based wind power prediction integrated with PkNN data imputation technique
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112114openalex-snapshot
Multiscale-attention masked autoencoder for missing data imputation of wind turbines
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2025.121620openalex-snapshot
Early warning system for offshore wind turbine runaway using combined multi-method missing value filling
inferred← citeshttps://doi.org/10.1016/j.renene.2025.124576openalex-snapshot
Robust imputation of missing photovoltaic power data using a weather- and context-aware hybrid transformer framework
inferred← citeshttps://doi.org/10.1016/j.segan.2026.102533openalex-snapshot
Photovoltaic power data imputation based on spatio-temporal fusing and improved TimesNet
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.113504openalex-snapshot
Intelligent diagnosis of rolling bearings under cross-domain missing data: A lightweight complex domain imputation and unsupervised time–frequency alignment approach
inferred← citeshttps://doi.org/10.1038/s41598-025-08751-3openalex-snapshot
Portability of short term wind power forecasting: investigating model calibration using wind power data from Ireland and UK
inferred← citeshttps://doi.org/10.1063/5.0144648openalex-snapshot
Missing data recovery of wind speed in wind farms: A spatial-temporal tensor decomposition approach
inferred← citeshttps://doi.org/10.1063/5.0176922openalex-snapshot
A joint missing power data recovery method based on the spatiotemporal correlation of multiple wind farms
inferred← citeshttps://doi.org/10.1109/eeps58791.2023.10256998openalex-snapshot
Gas Tank Air Leakage Identification in Power Plant Based on Subdivided Self-encoding Features
inferred← citeshttps://doi.org/10.1109/icpst61417.2024.10602341openalex-snapshot
High-Precision Wind Power Output Data Recovery Based on MA-Bi-LSTM
inferred← citeshttps://doi.org/10.1109/scecs69812.2026.11566043openalex-snapshot
Time-Series Missing Data Generation Based on Multiple Imputation and GAN Network
inferred← citeshttps://doi.org/10.1109/tim.2024.3446636openalex-snapshot
Missing-Data Filling Method Based on Improved Informer Model for Mechanical-Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tpwrs.2022.3196403openalex-snapshot
Electricity Theft Detection Using Euclidean and Graph Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1177/01445987231221877openalex-snapshot
Artificial neural network-based data imputation for handling anomalous energy consumption readings in smart homes
inferred← citeshttps://doi.org/10.1186/s43067-023-00094-1openalex-snapshot
GMA: Gap Imputing Algorithm for time series missing values
inferred← citeshttps://doi.org/10.20944/preprints202405.1179.v1openalex-snapshot
A Comparative Study for Using Deep LSTMs and ARIMA for Imputing Missing Data for Wind Data in the Irish Sea
inferred← citeshttps://doi.org/10.2139/ssrn.4896159openalex-snapshot
A Cgan-Based Adversarial Attack Method for Data-Driven State Estimation
inferred← citeshttps://doi.org/10.23919/aeit63317.2024.10736812openalex-snapshot
A Fleet-Wide Context-Aware Approach to Wind Power Data Imputation
inferred← citeshttps://doi.org/10.3390/en16041674openalex-snapshot
Recovering Corrupted Data in Wind Farm Measurements: A Matrix Completion Approach
inferred← citeshttps://doi.org/10.3390/info17090842openalex-snapshot
LG-MACFM: Local Gaussian Process Prior-Guided Mask-Aware Conditional Flow Matching for Renewable Energy Imputation
inferred← citeshttps://doi.org/10.3390/s23249697openalex-snapshot
Multi-Type Missing Imputation of Time-Series Power Equipment Monitoring Data Based on Moving Average Filter–Asymmetric Denoising Autoencoder
inferred← citeshttps://doi.org/10.35833/mpce.2022.000769openalex-snapshot
Data-driven Anomaly Detection Method Based on Similarities of Multiple Wind Turbines
inferred← citeshttps://doi.org/10.3724/j.gyjzg26031308openalex-snapshot
Deep Learning-Based Imputation of Multi-Source Missing Data for Offshore Wind Turbines
inferred← citeshttps://doi.org/10.54337/aau539422562openalex-snapshot
Modeling and Optimization of Active Distribution Network Operation Based on Deep Learning
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