Machine learning methodologies for real-world resilient energy systems
With the growing global population, energy demand and consumption have increased. Higher fossil fuel consumption has led to increased greenhouse gas emissions and global warming. However, the 4th Industrial Revolution, driven by digital, biological, and physical innovations, has shown an increased f...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2024
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| Online Access: | https://eprints.nottingham.ac.uk/79870/ |