electricsheepafrica/nigerian_energy_and_utilities_dynamic_pricing_response

# Nigerian Energy & Utilities – Dynamic Pricing Response

Meter-level response to time-of-use/dynamic tariffs; elasticity around -0.15 median.

- **[category]** Smart Meters & Consumption
- **[rows]** ~120,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (DisCos, substations, plants)

## Schema

| column | dtype |

|---|---| | meter_id | object | | disco | object | | timestamp | object | | tariff_band | object | | baseline_kwh | float64 | | price_ngn_kwh | float64 | | price_multiplier | float64 | | observed_kwh | float64 | | reduction_pct | float64 | | elasticity_estimate | float64 |

## Usage

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

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