With declining fossil fuel resources and increasing global pollution, the use of new and renewable energy sources has grown exponentially. Renewable energy is of particular importance for the future of the world. The main reason for this is environmental issues arising from current methods of energy production. We must make smart choices to avoid environmental catastrophes, severe energy shortages, and even social chaos.

A renewable energy source is defined as a natural and continuous flow of energy that occurs in the environment. These sources include hydropower, wind energy, solar energy, wave energy, tidal energy, and geothermal energy. Research into renewable energy has been increasingly popular, and important steps have been taken to develop the use of these unlimited resources. These include the development of renewable energy technologies, as well as international agreements such as the one reached at the Paris Conference. But past scientific practices have not succeeded in finding easy, analytical, and complete solutions, despite their high degree of accuracy. Computational intelligence focusing on the human mind solves complex problems that have not been known until now.

This Special Issue aims to collate original research and review articles describing advances in this field.

Potential topics include but are not limited to the following:

• Artificial intelligence for smart grids
• Artificial intelligence applied to renewable energies
• Optimum design of hybrid renewable energy systems
• Energy management strategies in hybrid renewable energy
• Optimal system performance modeling
• Intelligent control of renewable energy systems
• Intelligent demand energy management system for renewable energy systems
• Artificial intelligence forecast of renewable energy systems for integration