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
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
@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.