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

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Item type: Conference or Workshop Item(Paper) ID code: 80626 Dates: DateEvent24 June 2022Published11 April 2022AcceptedKeywords: 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 engineeringDepartment: 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