product image

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.


News

Events

Research

Administration

LinkedinYouTubeInstagramGithub

aacgriet.org@gmail.com


© 2022 AAC Website. All rights reserved.