Predicting Power Generation from Windmill Using Machine Learning

Explore the intersection of renewable energy and machine learning in this 47-minute video that demonstrates how to predict electricity generation from windmills. Learn to develop a predictive model using parameters like wind speed, direction, and turbine characteristics to forecast power output accurately. Gain insights into decision trees, random forests, and their application in a real-world case study on windmill power generation. Discover how this innovative approach contributes to the global shift towards cleaner and more sustainable energy sources, making it valuable for students, researchers, and renewable energy enthusiasts alike.

Predicting Power Generation from Windmill using Machine Learning