electricsheepafrica/nigerian_energy_and_utilities_fuel_consumption

# Nigerian Energy & Utilities – Fuel Consumption

Thermal plant fuel use; heat-rate based with efficiency and CO₂ factors for gas/oil.

- **[category]** Power Generation
- **[rows]** ~120,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (DisCos, substations, plants)

## Schema

| column | dtype |

|---|---| | timestamp | object | | plant_id | object | | fuel | object | | heat_rate_kj_per_kwh | float64 | | net_output_mw | float64 | | energy_input_mwh_th | float64 | | thermal_efficiency | float64 | | co2_ton | float64 |

## Usage

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

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