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LICENSE_NOTICE.md

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+# License and provenance notice
+
+This repository contains a processed, OPSD-derived benchmark prepared for the study
+"Preference-Conditioned Heterogeneous Multi-Agent Reinforcement Learning for Safe Microgrid Energy Management."
+
+## Upstream data
+
+Source:
+Open Power System Data (OPSD), Time Series Package, Version 2020-10-06.
+DOI: 10.25832/time_series/2020-10-06
+
+The upstream OPSD platform notes that some source data may remain subject to copyright or related rights
+held by the original data providers. Therefore, this repository does not claim ownership of the original
+OPSD/ENTSO-E measurements and does not relicense those upstream rights.
+
+## Repository license field
+
+For a Hugging Face dataset repository containing this processed time-series benchmark, the conservative
+metadata choice is `license: other`, with this notice and the upstream citation retained.
+
+If a separate repository contains only author-created code, metadata, evaluation tables, derived metrics,
+or other materials for which the authors control the rights, those materials may be licensed separately
+(e.g. MIT for code or CC BY 4.0 for author-created research artifacts), subject to coauthor/institution approval.

README.md

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 ---
-license: cc-by-4.0
----
+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.

SHA256SUMS.txt

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+a4979e840358c1db40f522555079bafeda8b55fa41f495313fc0e9589b2e6e9a  LICENSE_NOTICE.md
+278959971b30fc22577bc1eabded7ebfcc342af254880fac8a2850a3a9f3bbfa  README.md
+81b8f882ee73a660d36deaaa2ac04328170155a6f0eaadee0a29e9f49b07d274  UPLOAD_TO_HUGGINGFACE.md
+f7fb3483b0968da9ffe0728254a486cdbf9a163b5ea2b2ebbb9a010552e01b64  microgrid_opsd_multiyear.csv
+ca9d2b816ee224ddf6bbfe7aeda137046b9ab995cfc340d8bdcb44ebf61b7924  opsd_multiyear_metadata.json

opsd_multiyear_metadata.json

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+{
+  "source_uploaded_file": "time_series_60min_singleindex.csv",
+  "source_time_start_utc": "2014-12-31 23:00:00+00:00",
+  "source_time_end_utc": "2020-09-30 23:00:00+00:00",
+  "rows": 50401,
+  "frequency": "1 hour",
+  "complete_24h_windows": 2100,
+  "selected_nodes": [
+    "DK_1",
+    "DK_2",
+    "AT",
+    "GB_GBN",
+    "IT_NORD"
+  ],
+  "node_mapping": {
+    "DK_1": {
+      "load": "DK_1_load_actual_entsoe_transparency",
+      "solar": "DK_1_solar_generation_actual",
+      "wind_total": "DK_1_wind_generation_actual",
+      "wind_on": "DK_1_wind_onshore_generation_actual",
+      "wind_off": "DK_1_wind_offshore_generation_actual",
+      "price": "DK_1_price_day_ahead"
+    },
+    "DK_2": {
+      "load": "DK_2_load_actual_entsoe_transparency",
+      "solar": "DK_2_solar_generation_actual",
+      "wind_total": "DK_2_wind_generation_actual",
+      "wind_on": "DK_2_wind_onshore_generation_actual",
+      "wind_off": "DK_2_wind_offshore_generation_actual",
+      "price": "DK_2_price_day_ahead"
+    },
+    "AT": {
+      "load": "AT_load_actual_entsoe_transparency",
+      "solar": "AT_solar_generation_actual",
+      "wind_total": null,
+      "wind_on": "AT_wind_onshore_generation_actual",
+      "wind_off": null,
+      "price": "AT_price_day_ahead"
+    },
+    "GB_GBN": {
+      "load": "GB_GBN_load_actual_entsoe_transparency",
+      "solar": "GB_GBN_solar_generation_actual",
+      "wind_total": "GB_GBN_wind_generation_actual",
+      "wind_on": "GB_GBN_wind_onshore_generation_actual",
+      "wind_off": "GB_GBN_wind_offshore_generation_actual",
+      "price": "GB_GBN_price_day_ahead"
+    },
+    "IT_NORD": {
+      "load": "IT_NORD_load_actual_entsoe_transparency",
+      "solar": "IT_NORD_solar_generation_actual",
+      "wind_total": null,
+      "wind_on": "IT_NORD_wind_onshore_generation_actual",
+      "wind_off": null,
+      "price": "IT_NORD_price_day_ahead"
+    }
+  },
+  "target_mean_load_kw": 260.0,
+  "renewable_multiplier": 3.0,
+  "price_conversion_note": "price_cny_kwh = day-ahead EUR/MWh * 7.8 / 1000; values clipped to [0.02, 2.50].",
+  "carbon_note": "carbon_factor_kg_kwh is a dispatch proxy derived from renewable penetration, seasonal stress and risk because this OPSD file does not contain measured hourly carbon intensity.",
+  "all_rows_used_after_interpolation": true
+}