Quantification of dairy farm energy consumption to support the transition to sustainable farming

Todic, Tamara and Stankovic, Lina and Stankovic, Vladimir and Shi, Jiufeng (2022) Quantification of dairy farm energy consumption to support the transition to sustainable farming. In: International Conference on Smart Computing 2022, 2022-06-20 - 2022-06-24, Aalto University, Espoo, Finland.

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Abstract

As the need for using energy-efficient machinery escalates, energy consumption estimation plays an important role in decision support and planning in the agri-sector. Within the present research study, energy consumption in dairy farms was examined. A deep learning-based load disaggregation approach was used to develop data-driven models to quantify individual energy consumption of milk production-related devices of dairy farms, from a single aggregate measurement. According to the experiments conducted on three dairy farms in Germany, load disaggregation from a single aggregate meter is a viable, cheaper alternative to submetering multiple pieces of equipment to accurately quantify electricity consumption at scale in dairy farms in order to provide the decision support needed to inform measures for tackling climate change.

ORCID iDs

Todic, Tamara, Stankovic, Lina ORCID logoORCID: https://orcid.org/0000-0002-8112-1976, Stankovic, Vladimir ORCID logoORCID: https://orcid.org/0000-0002-1075-2420 and Shi, Jiufeng;
  • Item type:Conference or Workshop Item(Paper)
    ID code:80626
    Dates:
    Date
    Event
    24 June 2022
    Published
    11 April 2022
    Accepted
    Keywords:NILM, industrial NILM, energy disaggregation, sustainable farming, Agriculture, Electrical engineering. Electronics Nuclear engineering, Agricultural and Biological Sciences(all), Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, SDG 7 - Affordable and Clean Energy, SDG 12 - Responsible Consumption and Production, SDG 13 - Climate Action
    Subjects:Agriculture
    Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:10 May 2022 10:39
    Last modified:17 Aug 2022 02:31
    URI:https://strathprints.strath.ac.uk/id/eprint/80626
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