His research interests include artificial intelligence techpnologies and large language modeling for power system and renewable energy. He has been deeply involved in the development of the Guangming series closed-source energy large models at SGCC, focusing on data engineering and multi-source data alignment training for power system large models. He is also the co-founder and CTO of REAILAB from 2024.
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Focusing
Ph. D. Deep Learning, Power System, and Renewable Energy
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THU-Cepri
- Haidian, Beijing, China
Highlights
- Pro
Pinned Loading
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REAILAB/SolarMiner
REAILAB/SolarMiner PublicSolarMiner: Large-Scale Mining Area Photovoltaic Potential Assessment
Python 3
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REAILAB/SolarSAM
REAILAB/SolarSAM PublicComprehensive BIPV potential assessment methods for emerging city with SAM and satellite imagery
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