2023/08/21 by Mian Ibad Ali Shah, Shah, Mian Ibad Ali, Abdul Wahid +5
Business, Management and Accounting · #Artificial Intelligence (cs.AI) #Cooperative Studies and Economics #FOS: Computer and information sciences #FOS: Electrical engineering #FinTech, Crowdfunding, Digital Finance #Multiagent Systems (cs.MA) #Sharing Economy and Platforms #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2310.05932
openalex publication_date 2023/08/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.