electricsheepafrica/nigerian_energy_and_utilities_renewable_generation

# Nigerian Energy & Utilities – Renewable Generation

Solar/wind/hydro generation with irradiance, wind, and flow effects; capped by capacity and efficiency.

- **[category]** Power Generation
- **[rows]** ~150,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (DisCos, substations, plants)

## Schema

| column | dtype |

|---|---| | timestamp | object | | site_id | object | | type | object | | capacity_mw | float64 | | power_mw | float64 | | solar_irr_wm2 | float64 | | wind_ms | float64 | | water_flow_idx | float64 |

## Usage

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

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