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wind-turbine

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BACHELOR THESIS. Detect wind turbine errors using a hybrid model. Utilize ML, DL, edge computing. Dataset, neural network optimized with genetic algorithms. Low computational power ML models. Data is stored in the cloud. Turbine status via secure APIs. Password encryption. GRASP, SOLID

  • Updated Jun 2, 2023
  • Java

"Wind Power Predictor" is a machine learning project that forecasts turbine output using real-time data from Turkish wind farms. Its web app interface offers convenient access to predictions, enabling informed decisions for maximizing energy production and advancing renewable energy usage.

  • Updated May 21, 2024
  • HTML

Code for a prototype of an Arrieus vertical axis wind turbine. The explanation of the functioning of the code is in the project: A. Serda Mena. (2020). Instalación de sensores y análisis de datos de un aerogenerador de eje vertical para uso doméstico. http://hdl.handle.net/11531/41777

  • Updated Jan 18, 2022
  • MATLAB

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