The new book "Smart Green Energy Production" explores the innovative surfaces and Intersections between Intelligent Algorithms and Green Energy Technologies to advance and enhance sustainable energy solutions. This comprehensive guide covers state-of-the-art and future-oriented computational strategies for optimizing or optimally controlling green energy production and managing carbon dioxide emissions. Key topics also include the application of smart hybrid quantum computing, the efficiency of swarm intelligence, the scalability of cloud computing, as well as analytical, heuristic and sophisticated optimization and controlling techniques. This book provides a detailed analysis of how these technologies can be leveraged to create more efficient, cost-effective, as well as human-, environmentally and life-friendly energy systems, offering readers a thorough understanding of the future of sustainable energy generation, induction, production and consumption.

eBook - ePub
Smart Green Energy Production
- 239 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Smart Green Energy Production
About this book
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Information
Index
BusinessTable of contents
- Title Page
- Copyright
- Contents
- List of authors
- Chapter 1âUse of digital systems in the design system of photovoltaic solar stations
- Chapter 2âPotential wind energy in Turkmenistan
- Chapter 3âPotential of using biogas technology in Turkmenistan
- Chapter 4âEnergy efficiency
- Chapter 5âLatent renewable energy in Turkmenistan
- Chapter 6âApproximate stochastic simulation algorithms
- Chapter 7âThe role of supply chain management in the construction industry
- Chapter 8âSelection of threshold in binary graphs of biological networks
- Chapter 9âModel selection criteria with bootstrap algorithms: applications in biological networks
- Chapter 10âTechnocracy in Governance: new directions in city functioning and urban planning
- Chapter 11âOutlier detection in biomedical data: ECG-focused approaches
- Chapter 12âOptimization of debt collection strategies for South African banks with machine learning models
- Chapter 13âPerformance of six turbulence models in predicting two-phase flow on a hydraulic test bench
- Index
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Yes, you can access Smart Green Energy Production by Pandian Vasant,J. Joshua Thomas,Vladimir Panchenko,Gerhard Wilhelm Weber in PDF and/or ePUB format, as well as other popular books in Business & Artificial Intelligence (AI) & Semantics. We have over 1.5 million books available in our catalogue for you to explore.