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Modelling Electricity Consumption in Irish Dairy Farms Using Agent-Based Modelling

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Artificial Intelligence. ECAI 2023 International Workshops (ECAI 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1948))

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Abstract

Dairy farming can be an energy intensive form of farming. Understanding the factors affecting electricity consumption on dairy farms is crucial for farm owners and energy providers. In order to accurately estimate electricity demands in dairy farms, it is necessary to develop a model. In this research paper, an agent-based model is proposed to model the electricity consumption of Irish dairy farms. The model takes into account various factors that affect the energy consumption of dairy farms, including herd size, number of milking machines, and time of year. The outputs are validated using existing state-of-the-art dairy farm modelling frameworks. The proposed agent-based model is fully explainable, which is an advantage over other Artificial Intelligence techniques, e.g. deep learning.

Proc. of the Articial Intelligence for Sustainability, ECAI 2023, Eunika et al. (eds.), Sep 30-Oct 1, 2023, https://sites.google.com/view/ai4s. 2023.

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Acknowledgements

This publication has emanated from research conducted with the financial support of Science Foundation Ireland under Grant number [21/FFP-A/9040].

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Correspondence to Hossein Khaleghy .

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Khaleghy, H., Wahid, A., Clifford, E., Mason, K. (2024). Modelling Electricity Consumption in Irish Dairy Farms Using Agent-Based Modelling. In: Nowaczyk, S., et al. Artificial Intelligence. ECAI 2023 International Workshops. ECAI 2023. Communications in Computer and Information Science, vol 1948. Springer, Cham. https://doi.org/10.1007/978-3-031-50485-3_24

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  • DOI: https://doi.org/10.1007/978-3-031-50485-3_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50484-6

  • Online ISBN: 978-3-031-50485-3

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