FIELD: a comprehensive FarmIng Electrical LoaD measurements dataset from 30 three-phase dairy farms in Germany

Apostolos Vavouris; Lina Stankovic; Vladimir Stankovic; Jiufeng Shi

doi:10.1038/s41597-025-06094-2

FIELD: a comprehensive FarmIng Electrical LoaD measurements dataset from 30 three-phase dairy farms in Germany

Apostolos Vavouris^*, Lina Stankovic, Vladimir Stankovic, Jiufeng Shi

^*Corresponding author for this work

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

2 Downloads (Pure)

Abstract

The industrial sector, which is characterised by complex and diverse equipment and processes, is a core contributor to carbon emissions. Agriculture, in particular, has seen an increase in carbon dioxide emissions, in contrast to methane and nitrous oxide emissions, due to the increased use of novel, energy-intensive agricultural technology. Therefore, to meet Net Zero targets, analyses of the energy consumption of dairy technologies are necessary to enhance the energy efficiency of the agricultural equipment. Incidentally, the only public electrical measurements datasets of agricultural technology are one for poultry feed for 111 days, one for a synthetic hourly load profile of a dairy farm in Finland and another with aggregate readings and submetered milking robots from three farms in Germany. This dataset aims to accelerate energy efficiency and management services in the sector by curating and providing access to a comprehensive, first-of-its-kind, granular (1-sec) power readings dataset from 30 dairy farms across Germany with 72 submetered energy-intensive equipment, for a period of over one year.

Original language	English
Article number	1830
Number of pages	10
Journal	Scientific Data
Volume	12
DOIs	https://doi.org/10.1038/s41597-025-06094-2
Publication status	Published - 19 Nov 2025

Funding

This GECKO project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955422. Data was collected and collated by J. Shi during his time at Discovergy GmbH (now inexogy smart metering GmbH), partner in the GECKO project.

Keywords

carbon dioxide
emissions
dairy farms
net zero

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1038/s41597-025-06094-2Licence: CC BY 4.0

Vavouris-etal-SD-2025-FIELD-a-comprehensive-FarmIng-Electrical-LoaD-measurements-datasetFinal published version, 1.8 MBLicence: CC BY 4.0

1 Finished

building GrEener and more sustainable soCieties by filling the Knowledge gap in social science and engineering responsible artificial intelligence co-creatiOn (GECKO) MSCA-ITN-2020
Stankovic, V. (Principal Investigator) & Stankovic, L. (Co-investigator)
European Commission - Horizon Europe + H2020
1/01/21 → 30/06/25
Project: Research

Data for: "FIELD: A comprehensive FarmIng Electrical LoaD measurements dataset from 30 three-phase dairy farms in Germany"
Vavouris, A. (Creator), Stankovic, L. (Supervisor), Stankovic, V. (Supervisor) & Shi, J. (Data Collector), University of Strathclyde, 4 Jun 2025
DOI: 10.15129/1211ae7c-9b70-4a39-b3ce-318d81583749
Dataset

1 Conference contribution book
1 Article

A non-intrusive load monitoring-enabled framework for load scheduling in the dairy industry
Vavouris, A., Stankovic, L. & Stankovic, V., 15 Nov 2025, In: Applied Energy. 398, 16 p., 126456.
Research output: Contribution to journal › Article › peer-review

Open Access
File
1 Citation (Scopus)

15 Downloads (Pure)
Benefits of three-phase metering for load disaggregation
Vavouris, A., Stankovic, L., Stankovic, V. & Shi, J., 11 Nov 2022, Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. New York, NY, USA: Association for Computing Machinery (ACM), p. 393-397 5 p. (BuildSys '22).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Open Access
File
3 Citations (Scopus)

59 Downloads (Pure)

Complex mixed-methods research design approaches for data mining to meet utility and trust requirements for three-phase energy end-use customers
Vavouris, A. (Author), Stankovic, L. (Supervisor) & Stankovic, V. (Supervisor), 19 May 2025
Student thesis: Doctoral Thesis

Dumfries and Galloway Chamber of Commerce Net Zero Award
Vavouris, A. (Recipient), Stankovic, L. (Recipient), Stankovic, V. (Recipient), Mirfattahi, R. (Recipient) & Murray, P. (Recipient), 6 Jun 2025
Prize: Prize (including medals and awards)
Images of Research 2024: Capturing Collaboration Category Award
Vavouris, A. (Recipient), 30 Apr 2024
Prize: Prize (including medals and awards)
Strategic Themes Research and Knowledge Exchange Impact Prize: Centre for Intelligent Dynamic Communications (CIDCOM) Team
Dickson, L. (Recipient), Vavouris, A. (Recipient), Stankovic, L. (Recipient), Stankovic, V. (Recipient), Tachtatzis, C. (Recipient), Michie, C. (Recipient), Davison, C. (Recipient), McRobert, E. (Recipient) & Das, D. B. (Recipient), 25 Aug 2025
Prize: Prize (including medals and awards)

2 Invited talk
1 Public Events

Learn at Lunch: Efficient load scheduling for dairy farms with renewable energy provision
Vavouris, A. (Invited speaker)
23 Apr 2025
Activity: Talk or Presentation › Invited talk
Efficient load scheduling for dairy farms with renewable energy provision
Vavouris, A. (Speaker), Stankovic, L. (Speaker) & Stankovic, V. (Speaker)
1 May 2024
Activity: Talk or Presentation › Invited talk
Cow in the loop
Vavouris, A. (Contributor), Stankovic, L. (Contributor) & Stankovic, V. (Contributor)
30 Apr 2024 → 10 Jun 2024
Activity: Public Engagement and Outreach › Public Events

Cite this

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title = "FIELD: a comprehensive FarmIng Electrical LoaD measurements dataset from 30 three-phase dairy farms in Germany",

abstract = "The industrial sector, which is characterised by complex and diverse equipment and processes, is a core contributor to carbon emissions. Agriculture, in particular, has seen an increase in carbon dioxide emissions, in contrast to methane and nitrous oxide emissions, due to the increased use of novel, energy-intensive agricultural technology. Therefore, to meet Net Zero targets, analyses of the energy consumption of dairy technologies are necessary to enhance the energy efficiency of the agricultural equipment. Incidentally, the only public electrical measurements datasets of agricultural technology are one for poultry feed for 111 days, one for a synthetic hourly load profile of a dairy farm in Finland and another with aggregate readings and submetered milking robots from three farms in Germany. This dataset aims to accelerate energy efficiency and management services in the sector by curating and providing access to a comprehensive, first-of-its-kind, granular (1-sec) power readings dataset from 30 dairy farms across Germany with 72 submetered energy-intensive equipment, for a period of over one year.",

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AU - Shi, Jiufeng

PY - 2025/11/19

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N2 - The industrial sector, which is characterised by complex and diverse equipment and processes, is a core contributor to carbon emissions. Agriculture, in particular, has seen an increase in carbon dioxide emissions, in contrast to methane and nitrous oxide emissions, due to the increased use of novel, energy-intensive agricultural technology. Therefore, to meet Net Zero targets, analyses of the energy consumption of dairy technologies are necessary to enhance the energy efficiency of the agricultural equipment. Incidentally, the only public electrical measurements datasets of agricultural technology are one for poultry feed for 111 days, one for a synthetic hourly load profile of a dairy farm in Finland and another with aggregate readings and submetered milking robots from three farms in Germany. This dataset aims to accelerate energy efficiency and management services in the sector by curating and providing access to a comprehensive, first-of-its-kind, granular (1-sec) power readings dataset from 30 dairy farms across Germany with 72 submetered energy-intensive equipment, for a period of over one year.

AB - The industrial sector, which is characterised by complex and diverse equipment and processes, is a core contributor to carbon emissions. Agriculture, in particular, has seen an increase in carbon dioxide emissions, in contrast to methane and nitrous oxide emissions, due to the increased use of novel, energy-intensive agricultural technology. Therefore, to meet Net Zero targets, analyses of the energy consumption of dairy technologies are necessary to enhance the energy efficiency of the agricultural equipment. Incidentally, the only public electrical measurements datasets of agricultural technology are one for poultry feed for 111 days, one for a synthetic hourly load profile of a dairy farm in Finland and another with aggregate readings and submetered milking robots from three farms in Germany. This dataset aims to accelerate energy efficiency and management services in the sector by curating and providing access to a comprehensive, first-of-its-kind, granular (1-sec) power readings dataset from 30 dairy farms across Germany with 72 submetered energy-intensive equipment, for a period of over one year.

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KW - emissions

KW - dairy farms

KW - net zero

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FIELD: a comprehensive FarmIng Electrical LoaD measurements dataset from 30 three-phase dairy farms in Germany

Abstract

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UN SDGs

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