Smart Green Energy Production
Description
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.
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Content
- Intro
- Contents
- List of authors
- Chapter 1 Use of digital systems in the design system of photovoltaic solar stations
- Chapter 2 Potential wind energy in Turkmenistan
- Chapter 3 Potential of using biogas technology in Turkmenistan
- Chapter 4 Energy efficiency
- Chapter 5 Latent renewable energy in Turkmenistan
- Chapter 6 Approximate stochastic simulation algorithms
- Chapter 7 The role of supply chain management in the construction industry
- Chapter 8 Selection of threshold in binary graphs of biological networks
- Chapter 9 Model selection criteria with bootstrap algorithms: applications in biological networks
- Chapter 10 Technocracy in Governance: new directions in city functioning and urban planning
- Chapter 11 Outlier detection in biomedical data: ECG-focused approaches
- Chapter 12 Optimization of debt collection strategies for South African banks with machine learning models
- Chapter 13 Performance of six turbulence models in predicting two-phase flow on a hydraulic test bench
- Index
