The Physics Department Organizes a Training Course on Practical Applications of Low-cost Embedded Systems in the Field of Renewable Energy

Training Course

The Physics Department at the College of Education for Pure Sciences organized a training course on practical applications of low-cost embedded systems in the field of renewable energy. The course was presented by Prof. Muhammad Hamid Al-Baghdadi, Prof. Yasser Ezz El-Din, and Asst. Prof. Dhafar Hadi Jiad. The course aimed to explain the importance of modern educational methods, embedded systems, and artificial intelligence, and their impact on the renewable energy sector.
The course also included several topics on managing solar energy farms with the help of artificial intelligence throughout the lifecycle of solar panels. Drones can capture high-resolution images of the site, and artificial intelligence improves the distribution of energy generated by solar panels by predicting consumption, which helps organize storage and distribution operations. Researchers have recommended the need to address such issues, as developing solar energy reduces environmental pollution and spares the world many disasters. Furthermore, the use of artificial intelligence in drones equipped with cameras and sensors is important for scanning solar panels through image analysis, reducing human inspection time and improving maintenance quality.