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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
Energy Prediction of Wind Turbine using IOT
Authors
M. Saravana Kumar, Pasupathi Dadeeja, Nagaraj G, Palani Selvam M
Keywords
IoT mobile app, LCD Display, Rain Detection Sensor, Node MCU, Battery, Wind Mill , Temperature and Humidity Sensor, Accelerometer, Charging Port.
Abstract
This paper proposes an IoT-based system for predicting the energy production of wind turbines using NodeMCU, LCD display, and various sensors such as accelerometer, temperature and humidity, and rain detection sensors. The system also includes a voltage controller to regulate the output voltage of the wind mill. The data from these sensors is collected and transmitted to a central server using IoT protocols, where machine learning algorithms are applied to predict the energy production of the wind turbine. The system also features an LCD display that provides real-time data visualization for the user. Additionally, a suggestion mobile app is developed to provide recommendations for optimizing the energy production of the wind turbine based on the sensor data. The proposed system is expected to improve the efficiency of wind turbines and contribute to the growth of renewable energy.
IJCRT's Publication Details
Unique Identification Number - IJCRT2305375
Paper ID - 236625
Page Number(s) - c848-c856
Pubished in - Volume 11 | Issue 5 | May 2023
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
M. Saravana Kumar, Pasupathi Dadeeja, Nagaraj G, Palani Selvam M, "Energy Prediction of Wind Turbine using IOT", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.c848-c856, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT2305375.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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