A Beginner-Friendly Overview of Algorithmic Energy Geopolitics
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Algorithmic Economist (PhD)
The book explores the transition from traditional data-driven approaches to algorithmic methods, highlighting key applications in energy geopolitics. Readers will gain insights into future trends shaping the field and into key algorithmic techniques in energy analysis and geopolitical contexts. The book does not include any code and does not assume prior knowledge.
Chapters:
- Understanding Algorithmic Energy Geopolitics
- Role of Algorithms in Geopolitical Analysis for Energy
- Cryptocurrencies, Memecoins, and Energy Tokens
- Key Algorithms and Techniques
- Energy Geopolitics – Key Challenges
- Importance of Energy Resources
- Case Studies and Applications
- The Future of Algorithmic Energy Geopolitics
- Energy Transition and Geopolitics
- Smart Grid Technologies and Energy Geopolitics
- Predicting Geopolitical Events Related to Energy
- Geopolitical Alliances and Energy Security
- Challenges in Algorithmic Energy Geopolitics
- Importance of Energy Storage in Geopolitics
- Electrolysers and Hydrogen in Geopolitics
- Electricity Interconnectors and Geopolitics
- Artificial Intelligence in Energy Infrastructure
- Smart Cities and Energy Geopolitics
- Climate Change and Energy Geopolitics
- Energy Diplomacy and International Relations
- Emerging Markets and Energy Geopolitics
- Energy Geopolitics in Developing Regions
- Risk Management in Energy Investments
- Crisis Management and Energy Resilience
- Case Studies in International Energy Conflicts
- Space-Based Solar Power
- Blockchain in Energy Geopolitics
- Nuclear Energy and Geopolitics
- Carbon Capture and Storage
- Water-Energy Nexus
- Global Energy Supply Chains
- Microgrids and Geopolitics
- Energy Poverty and Algorithmic Solutions
- Interest Rates and Macroeconomics in Energy Geopolitics
- Conclusion
Pages:
126
Chapters:
35
Level:
Beginner
Size
30.9 MB
Length
183 pages
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