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  path: data/train-*
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- README for 2imi9/us-power-climate-data-plants
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- US Power Plant Registry (EIA-860, 2023)
 
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  This dataset contains a curated and cleaned registry of 15,068 U.S. electric power plants derived from the 2023 EIA Form 860.
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  It aggregates plant-level attributes and generator-level characteristics for use in energy analytics, climate impact studies, infrastructure planning, and machine-learning applications.
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- Contents
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  Each record represents a single power plant.
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- Variables
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- Column Description
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- plant_code Unique numeric identifier assigned by EIA
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- plant_name Full plant name
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- utility_name Utility or company that operates the plant
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- street_address Physical address
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- city City of plant
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- state Two-letter state code
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- zip Postal ZIP code
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- county County
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- latitude Latitude (WGS84)
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- longitude Longitude (WGS84)
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- sector_name Sector category (e.g., Electric Utility, IPP, Commercial)
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- sector Numeric sector code from EIA
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- balancing_authority_code Grid balancing authority code
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- balancing_authority_name Balancing authority name
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- total_capacity_mw Sum of nameplate capacity of all generators at the plant
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- technologies Comma-separated list of generator technologies
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- primary_fuel Dominant fuel type
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- prime_movers Generator prime mover classes
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- Source
 
 
 
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  U.S. Energy Information Administration (EIA).
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  Form EIA-860 Annual Electric Generator Report (2023).
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- https://www.eia.gov/electricity/data/eia860/
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-
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- Processing Notes
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-
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- Only plants with valid latitude and longitude are included.
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- Generator data were aggregated at the plant level.
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- Column names were standardized to lowercase with underscores.
 
 
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- Citation
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  If you use this dataset, please cite:
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- 2imi9. US Power Plant Registry (EIA-860 2023). Hugging Face Datasets.
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- https://huggingface.co/datasets/2imi9/us-power-climate-data-plants
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-
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-
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-
 
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  path: data/train-*
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  ---
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+ # README for `2imi9/us-power-climate-data-plants`
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+
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+ # US Power Plant Registry (EIA-860, 2023)
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  This dataset contains a curated and cleaned registry of 15,068 U.S. electric power plants derived from the 2023 EIA Form 860.
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  It aggregates plant-level attributes and generator-level characteristics for use in energy analytics, climate impact studies, infrastructure planning, and machine-learning applications.
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+ ## Contents
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  Each record represents a single power plant.
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+ ### Variables
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+
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+ | Column | Description |
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+ | ------------------------ | --------------------------------------------------------- |
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+ | plant_code | Unique numeric identifier assigned by EIA |
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+ | plant_name | Full plant name |
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+ | utility_name | Utility or company that operates the plant |
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+ | street_address | Physical address |
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+ | city | City of plant |
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+ | state | Two-letter state code |
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+ | zip | Postal ZIP code |
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+ | county | County |
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+ | latitude | Latitude (WGS84) |
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+ | longitude | Longitude (WGS84) |
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+ | sector_name | Sector category (e.g., Electric Utility, IPP, Commercial) |
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+ | sector | Numeric sector code from EIA |
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+ | balancing_authority_code | Grid balancing authority code |
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+ | balancing_authority_name | Balancing authority name |
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+ | total_capacity_mw | Sum of nameplate capacity of all generators at the plant |
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+ | technologies | Comma-separated list of generator technologies |
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+ | primary_fuel | Dominant fuel type |
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+ | prime_movers | Generator prime mover classes |
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+
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+ ## Source
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  U.S. Energy Information Administration (EIA).
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  Form EIA-860 Annual Electric Generator Report (2023).
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+ [https://www.eia.gov/electricity/data/eia860/](https://www.eia.gov/electricity/data/eia860/)
 
 
 
 
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+ ## Processing Notes
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+ * Only plants with valid latitude and longitude are included.
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+ * Generator data were aggregated at the plant level.
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+ * Column names were standardized to lowercase with underscores.
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+ ## Citation
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  If you use this dataset, please cite:
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+ 2imi9. *US Power Plant Registry (EIA-860 2023)*. Hugging Face Datasets.
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+ [https://huggingface.co/datasets/2imi9/us-power-climate-data-plants](https://huggingface.co/datasets/2imi9/us-power-climate-data-plants)