Wind Turbine Power Production Prediction Using Machine Learning

Document Type : Primary Research paper

Authors

1 Student, Computer Science and Engineering, Computer Science and Business Systems, Information Technology, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu,

2 Assistant Professor-II, Electronics and Communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India

Abstract

Proposing a model that uses machine learning and IoT to predict future energy
production possibilities in particular locations that use windmills to produce electricity.
Proposed model benefits the industries helping where to install windmills to produce the
maximum possible energy by using live data analysis at the wind power stations. The above
mentioned process is performed by installing our model in the location of inspection where
the wind park is planned to bring. This is the efficient way of inspection or analysis as per
our concerned proposal.

Keywords

Int. J. of Aquatic Science
Volume 12, Issue 3 - Serial Number 3
ICMMNT-2021 International Virtual Conference on Materials, Manufacturing and Nanotechnology, 30th June, 2021.
June 2021
Pages 1655-1661

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