# Remote Microgrid Time-Series Dataset

This dataset provides one-minute–resolution time-series traces from a remote wind–diesel–battery microgrid. It contains normalized historical values and short-term forecasts for available wind power and electrical demand. The data are anonymized but preserve the temporal structure needed for research on microgrid control and forecasting.

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## Contents

Parquet files included:

- **norm_avail_wind_power_data.parquet** — Realized available wind power  
- **norm_avail_wind_power_forecast.parquet** — Forecasts of available wind power (`DateTime`, `DateTimeUpdated`)  
- **norm_demand.parquet** — Realized electrical demand  
- **norm_demand_forecast.parquet** — Demand forecasts (`DateTime`, `DateTimeUpdated`)  
- **data_exploration.ipynb** — Example notebook for loading and visualizing the data

All series are normalized; see the notebook for details.

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## Usage

```python
import pandas as pd

wind = pd.read_parquet("norm_avail_wind_power_data.parquet")
demand = pd.read_parquet("norm_demand.parquet")
wind_fc = pd.read_parquet("norm_avail_wind_power_forecast.parquet")
demand_fc = pd.read_parquet("norm_demand_forecast.parquet")
````

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## Citation

```bibtex
@article{nekoei2025shielded,
  title   = {Shielded Controller Units for RL with Operational Constraints Applied to Remote Microgrids},
  author  = {Nekoei, Hadi and Blondin Massé, Alexandre and Hassani, Rachid and Chandar, Sarath and Mai, Vincent},
  journal = {arXiv preprint arXiv:2512.01046},
  year    = {2025}
}
```

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Datasets licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.