electricsheepafrica/nigerian_energy_and_utilities_work_orders

# Nigerian Energy & Utilities – Work Orders

Planned/unplanned work orders with timelines, status, costs, and assigned teams.

- **[category]** Maintenance & Operations
- **[rows]** ~80,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (DisCos, substations, plants)

## Schema

| column | dtype |

|---|---| | wo_id | object | | disco | object | | substation_id | object | | category | object | | created_time | object | | planned_start | object | | planned_end | object | | status | object | | estimated_cost_ngn | float64 | | assigned_team | object |

## Usage

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

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