AI gives China ‘God’s-eye view’ of solar, wind installations as data-centre demand boomsAlibaba and Peking University map nation’s extensive green-energy sites – a move that could help stabilise national grid amid surge in computing-power needs2-MIN READ2-MIN1ListenPublished: 9:00pm, 21 May 2026In a significant leap for green-energy tracking, researchers from Peking University and Alibaba Group’s Damo Academy have used AI to map hundreds of thousands of solar and wind installations across China.The initiative resulted in a first-of-its-kind national inventory designed to help coordinate the country’s ambitious green transition.By leveraging a self-developed AI model from Damo, the research team processed a massive 7.56 terabytes of satellite imagery. The algorithm identified 319,972 solar photovoltaic facilities and 91,609 wind turbines across China as of 2022, according to newly released findings published in the journal Nature on Wednesday.Select VoiceSelect Speed0.8x0.9x1.0x1.1x1.2x1.5x1.75x00:0000:001.00x
SRCSouth China Morning Post
LANGEN
LEANCenter-Right
WORDS134
ENT11
THU · 2026-05-21 · 13:00 GMTBRIEF NSR-2026-0521-78145
NSR-2026-0521-78145News Report·EN·Technology
AI gives China ‘God’s-eye view’ of solar, wind installations as data-centre demand booms
Researchers from Peking University and Alibaba Group’s Damo Academy have developed an AI model to create a comprehensive national inventory of China's solar and wind installations. This initiative processed 7.56 terabytes of satellite imagery, identifying 319,972 solar photovoltaic facilities and 91,609 wind turbines as of 2022.
Iris DengSouth China Morning PostFiled 2026-05-21 · 13:00 GMTLean · Center-RightRead · 1 min
South China Morning PostFIG 01
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134words
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11entities
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Briefing Summary
AI-generatedNEWSAR · AI
Researchers from Peking University and Alibaba Group’s Damo Academy have developed an AI model to create a comprehensive national inventory of China's solar and wind installations. This initiative processed 7.56 terabytes of satellite imagery, identifying 319,972 solar photovoltaic facilities and 91,609 wind turbines as of 2022. The findings, published in the journal Nature, represent a first-of-its-kind mapping effort. This detailed inventory is intended to aid in coordinating China's green energy transition. The development comes as demand for data centers increases, potentially impacting the national grid.
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Model · rule-basedFraming
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The findings were published in the journal Nature.
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The algorithm identified 319,972 solar photovoltaic facilities and 91,609 wind turbines across China as of 2022.
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The initiative resulted in a national inventory to help coordinate China's green transition.
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The AI model processed 7.56 terabytes of satellite imagery to identify renewable energy sites.
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Researchers from Peking University and Alibaba Group’s Damo Academy used AI to map hundreds of thousands of solar and wind installations across China.
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10 termsgreen energy
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artificial intelligence
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solar installations
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wind installations
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data-centre demand
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national grid
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satellite imagery
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alibaba
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peking university
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china
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Topic connections
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