A Multi-Agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming
Abstract
To achieve desired carbon emission reductions, integrating renewable generation and accelerating the adoption of peer-to-peer energy trading is crucial. This is especially important for energy-intensive farming, like dairy farming. However, integrating renewables and peer-to-peer trading presents challenges. To address this, we propose the Multi-Agent Peer-to-Peer Dairy Farm Energy Simulator (MAPDES), enabling dairy farms to participate in peer-to-peer markets. Our strategy reduces electricity costs and peak demand by approximately 30% and 24% respectively, while increasing energy sales by 37% compared to the baseline scenario without P2P trading. This demonstrates the effectiveness of our approach.
Keywords
Cite
@article{arxiv.2310.05932,
title = {A Multi-Agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming},
author = {Mian Ibad Ali Shah and Abdul Wahid and Enda Barrett and Karl Mason},
journal= {arXiv preprint arXiv:2310.05932},
year = {2024}
}
Comments
Proc. of the Artificial Intelligence for Sustainability, ECAI 2023, Eunika et al. (eds.), Sep 30- Oct 1, 2023, https://sites.google.com/view/ai4s. 2023