Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms
The dairy industry in Ireland has a large potential for the integration of renewable energy and the reduction of carbon emissions. However, researchers of distributed generation control are mainly focused on residential and commercial applications. To contribute to the effective integration of renewable energy in the dairy sector, this paper presents a multi-objective optimisation control system based on differential evolution and multi agent Deep Reinforcement Learning. The proposed control is organised in two layers: the upper layer uses dynamic pricing, and the lower layer is based on multi
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
- Linked via arxiv authorMarcos Eduardo Cruz Victorio →
Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms
- Linked via arxiv authorKarl Mason →
Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms