Approaches to wind power curve modeling: A review and discussion

Y Wang, Q Hu, L Li, AM Foley, D Srinivasan - Renewable and Sustainable …, 2019 - Elsevier
Wind power curves play important roles in wind power forecasting, wind turbine condition
monitoring, estimation of wind energy potential and wind turbine selection. In practice, it is a …

[HTML][HTML] Applications and modeling techniques of wind turbine power curve for wind farms—A review

F Bilendo, A Meyer, H Badihi, N Lu, P Cambron… - Energies, 2022 - mdpi.com
In the wind energy industry, the power curve represents the relationship between the “wind
speed” at the hub height and the corresponding “active power” to be generated. It is the most …

[HTML][HTML] FLAGS: A methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning

B Steenwinckel, D De Paepe, SV Hautte… - Future Generation …, 2021 - Elsevier
Anomalies and faults can be detected, and their causes verified, using both data-driven and
knowledge-driven techniques. Data-driven techniques can adapt their internal functioning …

Optimization of high-performance concrete mix ratio design using machine learning

B Chen, L Wang, Z Feng, Y Liu, X Wu, Y Qin… - … Applications of Artificial …, 2023 - Elsevier
High-durability concrete is required in extremely cold or ocean environments, making the
design of concrete mixes highly important and complicated. In this study, a hybrid intelligent …

Wind power curve modeling and wind power forecasting with inconsistent data

Y Wang, Q Hu, D Srinivasan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Wind power curve modeling is a challenging task due to the existence of inconsistent data,
in which the recorded wind power is far away from the theoretical wind power at a given …

[HTML][HTML] Towards accurate image stitching for drone-based wind turbine blade inspection

C Yang, X Liu, H Zhou, Y Ke, J See - Renewable Energy, 2023 - Elsevier
Accurate image stitching is crucial to wind turbine blade visualization and defect analysis. It
is inevitable that drone-captured images for blade inspection are high resolution and heavily …

Whale optimization algorithm-based Sugeno fuzzy logic controller for fault ride-through improvement of grid-connected variable speed wind generators

MH Qais, HM Hasanien, S Alghuwainem - Engineering Applications of …, 2020 - Elsevier
Due to the extensive penetration of wind power plants (WPPs) into the grid, grid codes have
been imposed such that the WPPs stay linked to the grid during faults for a period to …

Non-linear regression model for wind turbine power curve

M Marčiukaitis, I Žutautaitė, L Martišauskas, B Jokšas… - Renewable Energy, 2017 - Elsevier
In this article, a study of wind turbine power curve modelling is presented with application to
a particular wind turbine of Seirijai wind farm in Lithuania. A non-linear regression model for …

Using high-frequency SCADA data for wind turbine performance monitoring: A sensitivity study

E Gonzalez, B Stephen, D Infield, JJ Melero - Renewable energy, 2019 - Elsevier
Intensive condition monitoring of wind generation plant through analysis of routinely
collected SCADA data is seen as a viable means of forestalling costly plant failure and …

[HTML][HTML] Condition monitoring of wind turbine systems by explainable artificial intelligence techniques

D Astolfi, F De Caro, A Vaccaro - Sensors, 2023 - mdpi.com
The performance evaluation of wind turbines operating in real-world environments typically
relies on analyzing the power curve, which shows the relationship between wind speed and …