electricsheepafrica/nigerian_energy_and_utilities_power_plant_output

# Nigerian Energy & Utilities – Power Plant Output

Plant-level gross/net output with Nigeria-specific plants, fuel types, hourly TOU, and auxiliary loads.

- **[category]** Power Generation
- **[rows]** ~200,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (DisCos, substations, plants)

## Schema

| column | dtype |

|---|---| | timestamp | object | | plant_id | object | | plant_name | object | | fuel | object | | capacity_mw | int64 | | gross_mw | float64 | | aux_load_mw | float64 | | net_mw | float64 | | availability | float64 | | state | object |

## Usage

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

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