electricsheepafrica/nigerian_energy_and_utilities_weather_for_energy

# Nigerian Energy & Utilities – Weather for Energy

Weather inputs (irradiance, wind, temp, humidity, rainfall) by Nigeria zones for energy forecasting.

- **[category]** Renewable & Environmental
- **[rows]** ~300,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (DisCos, substations, plants)

## Schema

| column | dtype |

|---|---| | timestamp | object | | zone | object | | state | object | | solar_irr_wm2 | float64 | | wind_ms | float64 | | temp_c | float64 | | humidity | float64 | | cloud_cover_pct | float64 | | rainfall_mm | float64 |

## Usage

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

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