Applications of Artificial Intelligence Techniques in Hybrid Renewable Energy Systems

Artificial intelligence (AI) is a pressing force across industries and services throughout the world. It aims not only to forge innovative solutions across various domains but also to deliver rapid and precise responses. Power systems, ranging from traditional grids to smart grids, represent one of the most extensive infrastructures that could benefit from the use of AI. The applications of AI in this domain are varied, addressing issues from expansion planning to residential building energy management, from load forecasting to renewable energy integration and more. Considering the potential impacts of AI on power system problems and challenges, delving deeper into both current and future applications is of paramount importance. Hence, a comprehensive survey of the current trends in AI applications in power systems will meaningfully help the practitioners, engineers, and researchers in their future endeavors to enhance power grids. In this chapter, we will provide an overview of state-of-the-art AI opportunities in power systems, focusing particularly on the current and potential applications of using AI in power grids. Machine learning (ML) algorithms and their various techniques are also investigated in terms of potential applications with regards to their specific inherent differences. Furthermore, the chapter elaborates on several primary applications of AI in power systems and addresses some of the concerns and challenges of using AI in this critical infrastructure. The discussion on future developments in AI-powered solutions is addressed. At the end, the chapter concludes with highlighting the potentials of AI in power systems and suggestions for future works and actions to expand the range of applications for safety-critical power system problems.