kahramankostas/Prediction-of-wind-turbine-power-generation-from-real-time-SCADA-data
Prediction of wind turbine power generation from real-time SCADA data
This project helps wind farm investors and operators identify underperforming turbines by predicting their expected power generation. By inputting real-time SCADA sensor data, it outputs anticipated power output, which can then be compared against actual production. This allows asset managers to quickly spot performance issues and initiate root cause analysis for individual wind turbines.
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Use this if you manage wind turbine assets and need to continuously monitor their performance to detect inefficiencies or potential malfunctions early.
Not ideal if you are looking for long-term strategic energy forecasts or a tool to optimize wind farm layout, as this focuses on individual turbine health and immediate performance.
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Last pushed
May 22, 2022
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