Advances of Artificial Intelligence in a Green Energy Environment

1. Application of some ways to intensify the process of anaerobic bioconversion of organic matter<br>2. Disasters impact assessment based on socioeconomic approach<br>3. Uninterruptible power supply system of the consumer, reducing peak network loads<br>4. Optimization of the anaerobic conversion of green biomass into volatile fatty acids for further production of high-calorie liquid fuel<br>5. Life cycle cost and life cycle assessment: an approximation to understand the real impacts of the Electricity Supply Industry<br>6. Comparison of open access multiobjective optimization software tools for standalone hybrid renewable energy systems<br>7. Optimization of the process of anaerobic processing of organic waste in biogas plants through the use of a vortex layer apparatus<br>8. Search of regularities in data: optimality, validity, and interpretability<br>9. Artificial intelligence techniques for modeling of wind energy harvesting systems: a comparative analysis<br>10. Human paradigm and reliability for aggregate production planning under uncertainty<br>11. Artificial intelligenceebased intelligent geospatial analysis in disaster management<br>12. Optimizing the daily use of limited solar panels in closely located rural schools in Zimbabwe<br>13. Review on recent implementations of multiobjective and multilevel optimization in sustainable energy economics<br>14. Hybrid optimization and artificial intelligence applied to energy systems: a review<br>15. A brief literature review of quantitative models for sustainable supply chain management<br>16. Optimized designing spherical void structures in 3D domains<br>17. Swarm-based intelligent strategies for charging plug-in hybrid electric vehicles