IoT and Data Mining Techniques to Detect and Regulating of Solar Power System

As a result of its practical and long-term benefits, renewable energy sources are the subject of intensive study. For instance, solar power stations are among the renewable energy systems that may be employed in various places due to their cheaper installation cost and maintenance requirements compared to traditional methods, despite their smaller footprint. Most small power plants solve the problem of equipment sprawl by setting up shops on an outside terrace. On the other hand, big power plants need vast land to construct. Maintaining such a big power station area is difficult for human workers. The suggested method utilizes the Internet of Things (loT) and data mining approaches to assist human managers in identifying power outages and faulty sections of solar power installations, expediting the process of correcting faults, and boosting the production plant's effectiveness.