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

Autor:	Khaleghy, Hossein, Wahid, Abdul, Clifford, Eoghan, Mason, Karl
Rok vydání:	2023
Předmět:	Computer Science - Artificial Intelligence Computer Science - Multiagent Systems
Druh dokumentu:	Working Paper
Popis:	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. Comment: This paper has been accepted at the 2023 Artificial Intelligence for Sustainability (AI4S) Workshop, at 26th European Conference on Artificial Intelligence ECAI 2023
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2308.09488 Zobrazit plný text záznamu View this record from Arxiv