A Complete Design of Smart Wind Farm Enriched with Novel Anemometer

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Published: Jun 12, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i6s.6950
Keywords:
deep learning, internet of things (IoT), renewable energy sources, sustainability, wind power

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K. Revathi
Department of Computer Science and Engineering, Panimalar Engineering College, Chennai, India
T. Tamilselvi
Department of Computer Science and Engineering, Panimalar Engineering College, Chennai, India
W. Gracy Theresa
Department of Computer Science and Engineering, Panimalar Engineering College, Chennai, India
M. Dhivya
Department of Computer Science and Engineering, Panimalar Engineering College, Chennai, India

Abstract

Renewable energy are endless and environment friendly sources of power production and also it is considered as the alternative of non- sustainable energy sources like coal, fossil fuels and nuclear power. Wind Energy is accounted as one of the fast depleting, pollution free energy source compared to hydro power and thermal power. Internet of Things (IoT), which is a wireless, self configuring network of sensors powered with communication facility promotes the facility of remote monitoring and control activities in smarter way without human intervention. Likewise machine learning is another technological giant offers accurate prediction over the voluminous data and imposes intelligence to the machines kept for operation. The primary objective is to develop an IoT based wind farm module that enables installed capacity identification, structural monitoring and scope for power generation in that locality.

Article Details

How to Cite
Revathi, K. ., Tamilselvi, T. ., Theresa, W. G. ., & Dhivya, M. . (2023). A Complete Design of Smart Wind Farm Enriched with Novel Anemometer. International Journal on Recent and Innovation Trends in Computing and Communication, 11(6s), 433–439. https://doi.org/10.17762/ijritcc.v11i6s.6950
Issue
Vol. 11 No. 6s (2023): Advances in Computational Modeling and Simulation of Computing Systems
Section
Articles

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