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Machine Learning for Wind Turbine Prediction by scribdjoejoe is a document available to read on EtoBox.

This document discusses using machine learning techniques like neural networks to predict wind turbine performance. It proposes using a backpropagation algorithm with a neural network model trained on historical data like wind speed and power output. This methodology could accurately predict turbine output and optimize wind energy production, helping transition to sustainable energy. The document reviews other studies applying regression models, neural networks and decision trees to predict performance, not

Author
scribdjoejoe
Language
EN