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Published April 17, 2026 | Version v1

FETS Dataset: Foundation Models Outperform Dataset-specific Machine Learning in Energy Time Series Forecasting

Authors/Creators

Description

FETS Dataset: Foundation Models Outperform Dataset-specific Machine Learning in Energy Time Series Forecasting

This dataset accompanies the paper: "FETS Benchmark: Foundation Models Outperform Dataset-specific Machine Learning in Energy Time Series Forecasting", Obermeier, M. et al.

Paper: https://arxiv.org/abs/2604.22328, Code: https://doi.org/10.5281/zenodo.19808930

 

The compilation contains time series from the European and international energy domain used to evaluate zero-shot and covariate-aware forecasting with state-of-the-art Time Series Foundation Models (TSFMs). Nine domain categories are covered: Balancing Services, Dispatchable Generation, Non-Dispatchable Generation, Load, Market Data, Grid Data, Heat Data, Mobility / EV Charging, and Residential Load. All time series are stored in Apache Parquet format; covariate files (weather reanalysis, holiday calendars) are included in sub-folders alongside each target series. All timestamps are in Coordinated Universal Time (UTC).

File Structure

{DataClass}/
  {DatasetName} - {TargetName}/
    {data_file}.parquet       ← target time series
    covariates/
      {cov_file}.parquet      ← weather, calendar, …
zenodo_dataset_overview.csv   ← machine-readable index
zenodo_description.html       ← this file

This record contains datasets under different original licenses. Only datasets that permit redistribution (e.g. under open licenses such as Creative Commons Attribution 4.0 International License or equivalent) are included in this record. Datasets with more restrictive licenses (e.g. non-commercial or no-redistribution terms) are not redistributed but referenced via links to their original sources. Each dataset remains subject to its respective license. No additional rights are granted. The license indicated for this record applies only to the metadata and documentation. Users are responsible for complying with the respective license terms of each dataset. Proper attribution and adherence to any usage restrictions must be ensured when reusing the data.

 

Balancing Services

Balancing Data Germany — Area Control Error (NRV Saldo)

aFRR Germany — Germany aFRR negativ

aFRR Germany — Germany aFRR positiv

mFRR Germany — TenneT negativ

mFRR Germany — TenneT positiv

 

Dispatchable Generation:

California Caiso — Aggregated Batterys

  • Folder: Dispatchable Generation/California Caiso - Aggregated Batterys/
  • Data file: NOT INCLUDED — license does not permit redistribution
  • Reason: CAISO OASIS – proprietary terms of use, redistribution not permitted
  • Download: http://oasis.caiso.com
  • Covariates: weather_np15_mean.parquet, weather_sp15_mean.parquet, weather_zp26_mean.parquet, calendar_CA_2010_2030.parquet

ENTSO-E Germany — Fossil Gas

ENTSO-E Germany — Fossil Hard Coal

 

Grid Data

50Hertz Line Power — UW Lubmin - OWP Baltic Eagle

50Hertz Line Power — UW Wieselbach UW Lauchstädt L471

  • Folder: Grid Data/50Hertz Line Power - UW Wieselbach UW Lauchstädt L471/
  • Data file: NOT INCLUDED — license does not permit redistribution
  • Reason: 50Hertz – redistribution requires written permission
  • Download: https://www.50hertz.com/Transparenz/Kennzahlen/Netzdaten/Netzbelastung
  • Covariates: 50Hertz_Lauchstaett_Vieselbach_random.parquet, weatherDE_grouped10_agg.parquet, calendar_1h_DE_2010_2030.parquet

50Hertz Line Power — UW Wieselbach UW Lauchstädt L472

  • Folder: Grid Data/50Hertz Line Power - UW Wieselbach UW Lauchstädt L472/
  • Data file: NOT INCLUDED — license does not permit redistribution
  • Reason: 50Hertz – redistribution requires written permission
  • Download: https://www.50hertz.com/Transparenz/Kennzahlen/Netzdaten/Netzbelastung
  • Covariates: 50Hertz_Lauchstaett_Vieselbach_random.parquet, weatherDE_grouped10_agg.parquet, calendar_1h_DE_2010_2030.parquet

Bayernwerk — Grid Consumption MS

Bayernwerk — Grid Feed-in MS

Netze BW LV, Feeder 132 — Active Power

Netze BW LV, Feeder 160 — Active Power

Netze BW LV, Feeder 33 — Active Power

Netze BW LV, Feeder 37 — Active Power

Netze BW LV, Feeder 63 — Active Power

Netze BW LV, Feeder 97 — Active Power

 

Heat Data

HEAPO: Household Zurich Area — Heatpump 818882

HEAPO: Household Zurich Area — Heatpump 971151

Heat Grid Flensburg — Heat Demand

 

Load

California Caiso — Aggregated Load

  • Folder: Load/California Caiso - Aggregated Load/
  • Data file: NOT INCLUDED — license does not permit redistribution
  • Reason: CAISO OASIS – proprietary terms of use, redistribution not permitted
  • Download: http://oasis.caiso.com
  • Covariates: weather_np15_mean.parquet, weather_sp15_mean.parquet, weather_zp26_mean.parquet, calendar_CA_2010_2030.parquet

DE Power — Load DE

FR Power — Load

Industrial VEA 2 Agg Profiles — 2 random loads

 

Market Data

California Caiso — LMP NP15

  • Folder: Market Data/California Caiso - LMP NP15/
  • Data file: NOT INCLUDED — license does not permit redistribution
  • Reason: CAISO OASIS – proprietary terms of use, redistribution not permitted
  • Download: http://oasis.caiso.com
  • Covariates: weather_np15_mean.parquet, calendar_CA_2010_2030.parquet

California Caiso — LMP SP15

  • Folder: Market Data/California Caiso - LMP SP15/
  • Data file: NOT INCLUDED — license does not permit redistribution
  • Reason: CAISO OASIS – proprietary terms of use, redistribution not permitted
  • Download: http://oasis.caiso.com
  • Covariates: weather_sp15_mean.parquet, calendar_CA_2010_2030.parquet

California Caiso — LMP ZP26

  • Folder: Market Data/California Caiso - LMP ZP26/
  • Data file: NOT INCLUDED — license does not permit redistribution
  • Reason: CAISO OASIS – proprietary terms of use, redistribution not permitted
  • Download: http://oasis.caiso.com
  • Covariates: weather_zp26_mean.parquet, calendar_CA_2010_2030.parquet

ENTSO-E Germany — Day-Ahead Auction

ENTSO-E Germany — reBAP

EPEXSPOT — Intraday Continuous

 

Mobility Data

Mobilitaet Public Charging Station — Total Power 50 Agg

NL Office EV Park — Total Power

UK Residential Charging Station — Total Power 50 Agg

UrbanEV China Charging Station — Aggregated Profile 107

 

Non-Dispatchable Generation

California Caiso — Aggregated Solar

  • Folder: Non-Dispatchable Generation/California Caiso - Aggregated Solar/
  • Data file: NOT INCLUDED — license does not permit redistribution
  • Reason: CAISO OASIS – proprietary terms of use, redistribution not permitted
  • Download: http://oasis.caiso.com
  • Covariates: weather_np15_mean.parquet, weather_sp15_mean.parquet, weather_zp26_mean.parquet

DE Power — Solar

DE Power — Wind Offshore

DE Power — Wind Onshore

DK Power — Solar

Energy Forecasting Competition PV Cluster — Solar_MWh_credit

Energy Forecasting Competition Wind+PV — total_MWh_credit

Energy Forecasting Competition Windpark — Wind_MWh_credit

FR Power — Solar

Hill of Towie Wind — active_power

  • Folder: Non-Dispatchable Generation/Hill of Towie Wind - active_power/
  • Data file: hill_of_towie_active_power_15min_2023_2024.parquet
  • Sources:
  • Covariates: Hill_of_Towie_T01_reduced.parquet, Hill_of_Towie_T05_reduced.parquet

PV Hong Kong — generation_kwh_UG Hall4

 

Residential Load

HTW Berlin Households — 10 random aggregated households

HTW Berlin Households — random_household_0

HTW Berlin Households — random_household_1

HTW Berlin Households — random_household_2

Household Lower Saxony — NO_PV_SFH10_P_TOT

Household Lower Saxony — NO_PV_SFH31_P_TOT

Household Lower Saxony — WITH_PV_SFH15_P_TOT

 

Data Sources and References

General / Weather / Calendar

Grid Data

Balancing / Market Data

Heat Data

Mobility / EV Charging

Non-Dispatchable Generation

Load / Residential / Industrial

License Notes

The majority of datasets in this compilation are licensed under CC BY 4.0 or equivalent open licenses (ENTSO-E TSO Open Data Policy 2019, OGL v3.0, DL-DE/BY-2.0) and may be freely redistributed with attribution.

The following datasets carry a non-commercial (NC) license and are NOT included here. Commercial use requires separate permission from the respective rights holders:

  • Flensburg District Heating – CC BY-NC-SA 4.0
  • NL Office EV Park – CC BY-NC-SA 4.0
  • HTW Berlin Households – CC BY-NC 4.0

The following datasets are NOT included (no redistribution permitted) – direct download links are provided in the individual dataset entries above:

  • CAISO OASIS (Battery, Load, Solar, LMP) – All rights reserved
  • 50Hertz Grid Load – reproduction requires written permission
  • Bayernwerk Grid Data – §23c EnWG, no redistribution right
  • reBAP & activated control reserve – Netztransparenz.de (German TSOs)
  • Intraday continuous prices – Energy Charts / Fraunhofer ISE

Files

FETS_Dataset.zip

Files (401.8 MB)

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