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
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- PossiblePossibly related (embedding) · 48%jaimasih05-commits/swarm-foraging-qlearn →
- PossiblePossibly related (embedding) · 48%mlco2/ecologits →
- FuzzySimilar title/name (fuzzy) · 59%AgentCore-8B →
“Fuzzy title match (0.73): “Multi-Agent Deep Reinforcement Learning for Multi Objective ” ≈ “AgentCore-8B””
- LinkedLinked via arxiv author · 85%Marcos Eduardo Cruz Victorio →
“Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms”
- LinkedLinked via arxiv author · 85%Karl Mason →
“Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms”
- PossiblePossibly related (embedding) · 51%Adaptive primal–dual Q-learning for electric vehicle route optimization on real-world charging networks - Nature →
- FuzzySimilar title/name (fuzzy) · 87%SWE-agent/SWE-agent →
“Fuzzy title match (0.94): “Multi-Agent Deep Reinforcement Learning for Multi Objective ” ≈ “SWE-agent/SWE-agent””
- FuzzySimilar title/name (fuzzy) · 87%zhayujie/CowAgent →
“Fuzzy title match (0.94): “Multi-Agent Deep Reinforcement Learning for Multi Objective ” ≈ “zhayujie/CowAgent””