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Academic Journal

An intelligent SCADA-integrated deep learning framework for bird-safe offshore wind farm operation.

Authors : Sultan, Yara A.¹ (AUTHOR); Sameh, Ahmed^1,2 (AUTHOR) ; Gamel, Samah A.³ (AUTHOR)

Source: Scientific Reports. 6/13/2026, Vol. 16 Issue 1, p1-15. 15p.

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Academic Journal

SCADA Data-Driven Remaining Useful Life Estimation of Wind Turbine Generators.

Authors : Mai, Xuan-Kien¹ (AUTHOR); Lee, Jun-Yeop² (AUTHOR); Dinh, Minh-Chau^2,3 (AUTHOR)

Source: Energies (19961073). Apr2026, Vol. 19 Issue 7, p1722. 26p.

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Academic Journal

AIS-Based Seasonal Transformer Scheduling Using Real SCADA Load Data for Irrigation-Intensive Rural Grids.

Authors : Akbulut, Leyla¹ (AUTHOR) ; Majdi, Hasan Sh.² (AUTHOR); Özdemir, Fatma³ (AUTHOR)

Source: Energies (19961073). Jun2026, Vol. 19 Issue 11, p2509. 15p.

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Academic Journal

Low-Latency DDoS Detection for IIoT and SCADA Networks Using Proximal Policy Optimisation and Deep Reinforcement Learning.

Authors : Alemayehu, Mikiyas^1,2 (AUTHOR); Ghanem, Mohamed Chahine^1,2 (AUTHOR) ; Kheddar, Hamza³ (AUTHOR)

Source: Information. May2026, Vol. 17 Issue 5, p412. 27p.

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Academic Journal

Multi-Channel SCADA-Based Image-Driven Power Prediction for Wind Turbines Using Optimized LeNet-5-LSTM Hybrid Neural Architecture.

Authors : Ahsan, Muhammad¹ (AUTHOR); Dao, Phong Ba¹ (AUTHOR)

Source: Energies (19961073). Mar2026, Vol. 19 Issue 5, p1169. 29p.

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Academic Journal

LiDAR-Referenced Inflow Wind Condition Estimation from SCADA Data Using a Deep Learning Model.

Authors : He, Shukai¹ (AUTHOR); Wang, Hangyu^1,2 (AUTHOR); Yan, Jie^1,3 (AUTHOR)

Source: Energies (19961073). Mar2026, Vol. 19 Issue 5, p1373. 22p.

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Academic Journal

Evaluating Reconstruction-Based and Proximity-Based Methods: A Four-Way Comparison (AE, LSTM-AE, OCSVM, IF) in SCADA Anomaly Detection Under Inverted Imbalance.

Authors : Pawlik, Lukasz¹ (AUTHOR)

Source: Future Internet. Feb2026, Vol. 18 Issue 1, p96. 22p.

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Academic Journal

Early prediction of wind turbine anomalies using 1D-CNN and temporal feature engineering on multi-source SCADA data.

Authors : Ata, Mohamed Maher¹ (AUTHOR) ; Osama, Shorok² (AUTHOR); Ibraheem, Mai Ramadan³ (AUTHOR)

Source: Scientific Reports. 3/21/2026, Vol. 16 Issue 1, p1-28. 28p.

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Academic Journal

Data-Driven Reliability Assessment of PV Inverters Using SCADA Measurements.

Authors : Stanchev, Plamen^1,2 (AUTHOR); Hinov, Nikolay^1,2,3 (AUTHOR)

Source: Energies (19961073). Jan2026, Vol. 19 Issue 1, p237. 26p.

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Academic Journal

A Cluster-Based Filtering Approach to SCADA Data Preprocessing for Wind Turbine Condition Monitoring and Fault Detection.

Authors : Kijanowski, Krzysztof¹ (AUTHOR); Barszcz, Tomasz¹ (AUTHOR); Dao, Phong Ba¹ (AUTHOR)

Source: Energies (19961073). Nov2025, Vol. 18 Issue 22, p5954. 21p.

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An intelligent SCADA-integrated deep learning framework for bird-safe offshore wind farm operation.

SCADA Data-Driven Remaining Useful Life Estimation of Wind Turbine Generators.

AIS-Based Seasonal Transformer Scheduling Using Real SCADA Load Data for Irrigation-Intensive Rural Grids.

Low-Latency DDoS Detection for IIoT and SCADA Networks Using Proximal Policy Optimisation and Deep Reinforcement Learning.

Multi-Channel SCADA-Based Image-Driven Power Prediction for Wind Turbines Using Optimized LeNet-5-LSTM Hybrid Neural Architecture.

LiDAR-Referenced Inflow Wind Condition Estimation from SCADA Data Using a Deep Learning Model.

Evaluating Reconstruction-Based and Proximity-Based Methods: A Four-Way Comparison (AE, LSTM-AE, OCSVM, IF) in SCADA Anomaly Detection Under Inverted Imbalance.

Early prediction of wind turbine anomalies using 1D-CNN and temporal feature engineering on multi-source SCADA data.

Data-Driven Reliability Assessment of PV Inverters Using SCADA Measurements.

A Cluster-Based Filtering Approach to SCADA Data Preprocessing for Wind Turbine Condition Monitoring and Fault Detection.

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