electricsheepafrica/nigerian_energy_and_utilities_plant_emissions

# Nigerian Energy & Utilities – Plant Emissions

Stack emissions (CO₂, NOx, SOx) by fuel; hydros near-zero; gas/oil realistic distributions.

- **[category]** Power Generation
- **[rows]** ~100,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (DisCos, substations, plants)

## Schema

| column | dtype |

|---|---| | timestamp | object | | plant_id | object | | fuel | object | | co2_ton | float64 | | nox_mg_nm3 | float64 | | sox_mg_nm3 | float64 |

## Usage

```python
import pandas as pd
df = pd.read_parquet('data/nigerian_energy_and_utilities_plant_emissions/nigerian_energy_and_utilities_plant_emissions.parquet')
df.head()
```

```python
from datasets import load_dataset
ds = load_dataset('electricsheepafrica/nigerian_energy_and_utilities_plant_emissions')
ds
```

## Notes

- Data generated with Nigeria-specific parameters (DisCos, tariff bands, 50 Hz grid)
- Time-of-use shapes and seasonal/weather effects included where applicable
- Values are internally consistent (e.g., kWh ~ kW*h; voltage/current ~ power)