Human activities are overloading the earth’s atmosphere with carbon dioxide and other harmful emissions which act like a blanket that traps heat around the earth. The result is dramatic and has a negative impact on the earth including global warming, climate change, frequent storms, droughts, sea level rise, and extinction. Many countries have recently tried to use different sources of renewable energy to solve these issues that threaten the environment.

Fuzzy based models for energy have widely been used in recent years to assess the installation of wind and photovoltaic farms, power point tracking, and optimization among conflicting criteria. The documented research has shown that fuzzy based models for energy purposes could provide realistic estimates. Energy planning and modeling is crucial for the future of economic prosperity and environmental security.

The purpose of this special issue is to demonstrate applications of fuzzy systems, particularly fuzzy rule-based systems, fuzzy control systems, and fuzzy optimization models in different areas of renewable energy. Articles on soft computing methods such as genetic algorithms and neural networks are also welcome.

Potential topics include but are not limited to the following:

• Application of fuzzy systems in
  • Wind energy
  • Solar energy
  • Geothermal energy
  • Hydropower energy
  • Bio energy
  • Wave energy
  • Tidal energy
  • Different hybrid renewable energy sources