chandar-lab/remote_microgrid_data

# 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.

---

## 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.

---

## 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")
````

---

## 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}
}
```

---

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

# 远程微电网时间序列数据集

本数据集源自某远程风柴储微电网，提供分辨率为1分钟的时间序列观测数据，包含归一化后的历史可用风电功率、电力负荷数据，以及对应的短期预测值。数据已完成匿名化处理，但完整保留了微电网控制与预测研究所需的时序结构。

---

## 数据集内容

本数据集包含以下Parquet格式文件：
- **norm_avail_wind_power_data.parquet** — 实测可用风电功率数据
- **norm_avail_wind_power_forecast.parquet** — 可用风电功率预测数据（含`DateTime`、`DateTimeUpdated`字段）
- **norm_demand.parquet** — 实测电力负荷数据
- **norm_demand_forecast.parquet** — 电力负荷预测数据（含`DateTime`、`DateTimeUpdated`字段）
- **data_exploration.ipynb** — 用于数据加载与可视化的示例Jupyter Notebook

所有序列均已完成归一化处理，详细说明请参阅该示例Notebook。

---

## 使用方法
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")

---

## 引用格式
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}
}

---

本数据集采用知识共享署名-非商业性使用4.0国际许可协议（Creative Commons Attribution-NonCommercial 4.0 International License）进行授权。