Prediction of power generated by wind turbines
In this project, we were asked to experiment with a real-world dataset, and to explore how machine learning algorithms can be used to find the patterns in data.
Project Team members
MARIA JABEEN
VANAPATLA ROHITH REDDY
CHIDRALA SANJANA
M HEMANTH SAI
LALITESHWAR
Project Details
- DATE: 2022-10-20
- Team : 21AAC63
- Domain: PROJECT
Project Description
Switching to renewable energy sources is a great way to reduce dependency on imported fuels and increase cost efficiency. It is time we move towards a low-carbon future by embracing solar, hydro, geothermal energy and so on, to protect mother-nature. An efficient energy source that has been gaining popularity around the world is wind turbines. Wind turbines generate power by capturing the kinetic energy of the wind. Factors such as temperature, wind direction, turbine status, weather, blade length, and so on influence the amount of power generated.