Applications of Artificial Intelligence Techniques in Hybrid Renewable Energy Systems

This chapter is a general review of hybrid renewable energy systems and will go deeper into their relevance toward remote and rural setups. The review touches on the following configurations: wind/PV, PV/Battery/Wind, PV/Diesel/Wind, PV/Battery/Diesel, and PV/Hydrogen/Wind, proliferated regarding how the systems contribute to continuous sustainable energy. This chapter details the hybrid energy systems comprising solar panels, wind turbines, fuel cells, diesel generators, and batteries. In discussing the technology therein, it explains how technology such as artificial intelligence (AI) comes in handy in its adaptation to the specific need or reason for development. It examines the detailed application of AI in managing and optimizing energy systems, predicting levels of energy production, and improving system performance using strategies such as genetic algorithms, artificial neural networks, and particle swarm optimization techniques. It also discusses the integration of hybrid energy systems with smart grids to point out how AI, in this case, helps in increasing the efficiency and accuracy of these grids. Finally, it climaxes by giving a clarion call to everyone about the importance of using renewable energy for the betterment of an earth threatened by climate change. It recognizes the challenges in implanting renewable energy projects, including technical, economic, and legislative barriers; it further posits that overcoming these challenges is paramount for the universal sustainable implementation of renewable and hybrid energy systems.