Regulating and monitoring IoT controlled solar power plant by ML
Ayasha Siddiqua, Afsana Anjum, Sunanda Kondapalli, Chamandeep Kaur
Abstract
The proposed approach utilizes real-time techniques to aid in regulating and monitoring of solar power plants through the Internet of Things(IoT). Traditional PLC technology is insufficient for remote access and monitoring of solar power station operations. Therefore, the IoT and Machine learning (ML) are used to the administration of solar power plants. The term “Internet of Things” refers to the integration of several physical technologies with cloud applications. Each component of the Internet of Things (IoT) must have a certain minimum level of processing power, data security measures, and communication capabilities. This innovative technology may be used to monitor and boost solar power output. Since servomotors may be used to rotate solar panels in response to changes in the sun’s angle, the efficiency with which they produce electricity can be increased. Designing a photovoltaic system, constructing the analogue circuitry for accurate voltage and current measurements, and developing a website to provide the monitored data in an approachable graphical format are all necessary steps towards this goal. Since the web server is located on a WAN (Wide Area Network), it is accessible from anyplace with an Internet connection.