---
pretty_name: SEGAN OPSD-Derived Microgrid Multiyear Benchmark
license: other
task_categories:
- time-series-forecasting
tags:
- energy
- microgrid
- renewable-energy
- power-systems
- reinforcement-learning
- time-series
---

# SEGAN OPSD-Derived Microgrid Multiyear Benchmark

This repository contains the processed multiyear microgrid benchmark used for the study
**“Preference-Conditioned Heterogeneous Multi-Agent Reinforcement Learning for Safe Microgrid Energy Management.”**

## Files

- `microgrid_opsd_multiyear.csv` — processed hourly benchmark data.
- `opsd_multiyear_metadata.json` — provenance, selected OPSD nodes, source-column mapping, scaling notes, and processing metadata.

## Provenance

The exogenous load, solar generation, wind generation, and day-ahead price traces are derived from the
Open Power System Data (OPSD) Time Series package, Version 2020-10-06.

Upstream dataset DOI: `10.25832/time_series/2020-10-06`

The metadata file records the original source file as `time_series_60min_singleindex.csv`,
covering 2014-12-31 23:00:00+00:00 to 2020-09-30 23:00:00+00:00,
with 50401 hourly rows and 2100 complete 24-hour windows.

Selected OPSD regions/nodes:
DK_1, DK_2, AT, GB_GBN, IT_NORD

## Important interpretation

This is an **OPSD-derived, trace-driven benchmark**, not a claim that every column is a directly measured
microgrid variable. The load, renewable-generation, and price traces are derived from OPSD time series after
documented preprocessing and scaling. Additional operational variables in the processed benchmark may be
derived or model-constructed.

In particular, the metadata explicitly states that `carbon_factor_kg_kwh` is a **dispatch proxy** derived from
renewable penetration, seasonal stress, and risk because the OPSD source file does not contain measured hourly
carbon intensity.

## Dataset shape

- Rows: 50,401
- Columns: 19
- Frequency: 1 hour
- Columns: `timestamp`, `pv_kw`, `wind_kw`, `load_kw`, `critical_load_kw`, `flexible_load_kw`, `price_cny_kwh`, `carbon_factor_kg_kwh`, `risk_level`, `reserve_ratio`, `island_flag`, `hour`, `month`, `dayofyear`, `node_renewable_ratio_mean`, `node_renewable_ratio_std`, `node_deficit_pressure_mean`, `node_deficit_pressure_std`, `node_price_signal_mean`

## Scaling and conversion notes

- Target mean load: 260.0 kW
- Renewable multiplier: 3.0
- Price conversion: price_cny_kwh = day-ahead EUR/MWh * 7.8 / 1000; values clipped to [0.02, 2.50].
- Missing values: all rows retained after interpolation according to the metadata.

## Citation

Please cite the upstream OPSD dataset:

Open Power System Data, *Time Series Package*, Version 2020-10-06, 2020.
DOI: `10.25832/time_series/2020-10-06`

A paper-specific citation can be added after publication.

## Reproducibility

For full reproduction of paper results, this dataset should be used together with the corresponding preprocessing,
training, evaluation, and plotting scripts/checkpoints from the project repository.