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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…
eess.SY2022
The role of living laboratories in unlocking the potential of low-carbon energy technologies on the journey to net-zero
Zhong Fan, Jun Cao, Taskin Jamal +8
We demonstrate the potential role of one of the largest at scale multi-vector Smart Energy Network Demonstrator (SEND).
eess.SY2021
Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints
Cephas Samende, Jun Cao, Zhong Fan
In this paper, we investigate an energy cost minimization problem for prosumers participating in peer-to-peer energy trading. Due to (i) uncertainties caused by renewable energy ge…