electricsheepafrica/nigerian_energy_and_utilities_peak_demand

# Nigerian Energy & Utilities – Peak Demand

Daily substation peak demand by hour with weekday/weekend and temperature effects.

- **[category]** Smart Meters & Consumption
- **[rows]** ~100,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (DisCos, substations, plants)

## Schema

| column | dtype |

|---|---| | date | object | | disco | object | | substation_id | object | | peak_hour | int64 | | peak_mw | float64 | | day_type | object | | temp_c | float64 |

## Usage

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

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