Global low carbon transitions in the power sector: A machine learning clustering approach using archetypes
This study presents an archetype-based approach to designing effective strategies for low-carbon transitions in the power sector. To achieve global energy transition goals, a renewable energy transition is critical, and understanding diverse energy landscapes across different countries is essential...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2024-11-01
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| Series: | Journal of Economy and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949948824000155 |