| Issue |
E3S Web Conf.
Volume 387, 2023
International Conference on Smart Engineering for Renewable Energy Technologies (ICSERET-2023)
|
|
|---|---|---|
| Article Number | 04004 | |
| Number of page(s) | 7 | |
| Section | Sustainable Development | |
| DOI | https://doi.org/10.1051/e3sconf/202338704004 | |
| Published online | 15 May 2023 | |
Intelligent Control System for Wind Turbine Farms Using IoT and Machine Learning
1 Assistant professor., SRM TRP Engg.College., Trichy, Tamilnadu, India
2 Prince Shri Bhavani College Of Engineering And Technology, Chennai, India
3 Assistant Professor, Prince Dr. K. Vasudevan College of Engineering and Technology, Chennai
4 Assistant Professor, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai – 127
The development of renewable energy sources is becoming increasingly important due to the depletion of traditional energy sources and the negative environmental impact caused by their use. Wind energyis one of the most promising renewable energy sources, withwind turbine farmsbeingestablishedacross the world. However, the operation and maintenance of wind turbine farms pose significant challenges due to the unpredictable nature of wind and the complex inter relationships between the turbines in the farm. To address these challenges, an intelligent control system that Smart Wind technologies has been proposed. The system utilizes a network of sensors and IoT devices to collect real-time data on wind speed, temperature, humidity, and other relevant parameters.
Key words: Intelligent control system / Internet of Things (IoT) / Machine learning (ML) / Real-time data collection
© The Authors, published by EDP Sciences, 2023
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