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--- |
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license: mit |
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tags: |
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- rooftop-solar |
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- solar-energy |
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--- |
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# DeepSolar-3M |
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**🔨 Repo under active construction** |
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**📄 Paper:** [DeepSolar-3M: An AI-Enabled Solar PV Database Documenting 3 Million Systems Across the US](https://s3.us-east-1.amazonaws.com/climate-change-ai/papers/iclr2025/55/paper.pdf) |
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**📍 Conference:** [ICLR 2025 - Tackling Climate Change with Machine Learning Workshop](https://www.climatechange.ai/papers/iclr2025/55) |
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--- |
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## Overview |
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DeepSolar-3M provides fast, high-resolution mapping of rooftop photovoltaic (PV) systems across the United States. |
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This repository contains county-level and blockgroup-level aggregated data from our AI pipeline. |
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**Key features:** |
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- Scalable detection of PV installations from aerial imagery |
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- Blockgroup-level and county-level aggregation of PV system statistics |
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- Detailed breakdowns by system type (residential, commercial, utility-scale, solar heating) |
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--- |
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## 📊 County-Level Dataset |
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Each entry corresponds to a U.S. county (identified by FIPS code) and includes: |
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- **Total PV system count** |
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- **Total PV area** (in square meters) |
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- **Median PV area** (m²) |
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- **Average PV area** (m²) |
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**Breakdown by system type (% of systems):** |
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- Residential systems |
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- Commercial systems |
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- Utility-scale systems |
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- Solar heating systems |
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--- |
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## 🗺️ Block Group-Level Dataset |
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Each entry corresponds to a U.S. Census block group (identified by GEOID/Block Group FIPS) and includes all the features listed above. |
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--- |
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## 📬 Citation |
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If you find this resource useful, please cite: |
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``` |
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@inproceedings{prabha2025deepsolar3m, |
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title={DeepSolar-3M: An AI-Enabled Solar PV Database Documenting 3 Million Systems Across the US}, |
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author={Prabha, Rajanie and Wang, Zhecheng and Zanocco, Chad and Flora, June and Rajagopal, Ram }, |
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booktitle={ICLR 2025 Workshop on Tackling Climate Change with Machine Learning}, |
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url={https://www.climatechange.ai/papers/iclr2025/55}, |
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year={2025} |
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} |
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``` |
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--- |
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## Contact |
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Feel free to reach out in case you have any questions - ```rajanie@stanford.edu``` |
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--- |
