Mapping global rooftop growth for better planning of decentralized PV
- Admin
- Aug 2, 2024
- 1 min read
A novel machine learning framework developed by IIASA (International Institute for Applied Systems Analysis) researchers estimates global rooftop area growth from 2020 to 2050. The growth in rooftop area can aid in planning sustainable energy systems, urban development, and climate change mitigation. The research provides insights into the importance of rooftop solar power for emerging economies and demonstrates how geospatial datasets and machine learning can support sustainable development and climate action.
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