1 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.SY2022★ 1 cited
Battery and Hydrogen Energy Storage Control in a Smart Energy Network with Flexible Energy Demand using Deep Reinforcement Learning
Cephas Samende, Zhong Fan, Jun Cao
Smart energy networks provide for an effective means to accommodate high penetrations of variable renewable energy sources like solar and wind, which are key for deep decarbonisati…
cs.CV2022★ 1 cited
Large-displacement 3D Object Tracking with Hybrid Non-local Optimization
Xuhui Tian, Xinran Lin, Fan Zhong +1
Optimization-based 3D object tracking is known to be precise and fast, but sensitive to large inter-frame displacements. In this paper we propose a fast and effective non-local 3D…
cs.MA2021
Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning
Daniel J. B. Harrold, Jun Cao, Zhong Fan
In this paper, multi-agent reinforcement learning is used to control a hybrid energy storage system working collaboratively to reduce the energy costs of a microgrid through maximi…