ABSTRACT
The relevance of modern computing tools and techniques is becoming quite significant nowadays. With time, such techniques will play a massive role in almost all spheres of human life to make it more comfortable. The renewable energy sector is also not an exception in this case. With the growing demand for clean energy and sustainable living, the need to integrate modern computing tools and techniques like Artificial Intelligence, Machine Learning and Internet of Things into the renewable energy sector is becoming more substantial. Such integration leads to meeting the demand satisfaction, improved output performance and reduced losses, which finally results in simultaneous as well as inclusive management of multiple energy generation, distribution and storage systems far and near. In this chapter, we put forward a wide-ranging discussion of these computing tools and how their integration can desirably upgrade our renewable energy systems as well as provide us with a robust platform for sustainable energy management. We have also included the pros and cons of these modern techniques and a few applications for each one of them in the renewable energy sector. We have wrapped up our discussion with an appurtenant conclusion and future scope that lies ahead.
