AI in Renewable Energy Optimization

To reduce energy consumption and cost management, energy performance goals should be optimised with ease. Artificial Intelligence (AI) and the Internet of Things (IoT) are crucial for developing predictive management methods and maintaining renewable energy infrastructure. AI accelerates energy transition and carbon reduction, which has become a necessity to address the global confront. As there is a paradigm shift in energy from traditional to cleaner and renewable alternatives, non-traditional sources like wind, solar, and hydro power become more obvious. For sustainability, the digital revolution has facilitated better management of renewable energy sources, enabling more effective consumption and distribution. The application of renewable energy sources is also vital for the newly emerging concept of Industry 5.0. AI can easily analyse the energy requirement pattern during the production process and can switch to available renewable energy sources when the demand is relatively lower. The present chapter emphasises how AI is commissioned to unlock extraordinary efficiency, grid stability, and cost optimisation. Nowadays, AI bridges the gap between the unpredictable nature of renewable sources and the consistent energy demand and reshapes the energy scenario by paving the path for a greener, brighter tomorrow. AI applications in renewable energy encompass prognostic maintenance, energy optimisation, and smart grid management. The present chapter also focuses on in what way AI acts as a transformative potential for renewable energy generation. This chapter reviews existing techniques and the incorporation of AI in energy management systems to meet the flexibility needs of modern energy supply systems.