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Advances of Artificial Intelligence in a Green Energy Environment 1st Edition – eBook PDF

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Advances of Artificial Intelligence in a Green Energy Environment – Ebook PDF

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Advances of Artificial Intelligence in a Green Energy Environment 1st Edition – Ebook PDF Instant Delivery – ISBN(s): 9780323897853,0323897851,9780323885744, 0323885748

Product details:

  • ISBN-10 ‏ : ‎ 0323885748
  • ISBN-13 ‏ : ‎ 9780323885744
  • Author: Pandian Vasant, Joshua Thomas, Elias Munapo, Gerhard-Wilhelm Weber

Advances of Artificial Intelligence in a Green Energy Environment reviews the new technologies in intelligent computing and AI that are reducing the dimension of data coverage worldwide. This handbook describes intelligent optimization algorithms that can be applied in various branches of energy engineering where uncertainty is a major concern.

Including AI methodologies and applying advanced evolutionary algorithms to real-world application problems for everyday life applications, this book considers distributed energy systems, hybrid renewable energy systems using AI methods, and new opportunities in blockchain technology in smart energy.

Table contents:

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

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