Visualising the Invisible: Augmented Reality and Virtual Reality as Persuasive Technologies for Energy Feedback (2020)
Conference Proceeding
David Fredericks, A., Fan, Z., & Woolley, S. I. (2020). Visualising the Invisible: Augmented Reality and Virtual Reality as Persuasive Technologies for Energy Feedback. . https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00225

In the last fifteen years, the outlook for engaging direct energy feedback as a method of effectively curtailing domestic energy consumption has grown more pessimistic. Continuing studies and reviews suggest the impact of such techniques on consumers... Read More about Visualising the Invisible: Augmented Reality and Virtual Reality as Persuasive Technologies for Energy Feedback.

Deep Reinforcement Learning Based Energy Storage Arbitrage With Accurate Lithium-ion Battery Degradation Model (2020)
Journal Article
Healey, & Fan. (2020). Deep Reinforcement Learning Based Energy Storage Arbitrage With Accurate Lithium-ion Battery Degradation Model. IEEE Transactions on Smart Grid, 4513-4521. https://doi.org/10.1109/TSG.2020.2986333

Accurate estimation of battery degradation cost is one of the main barriers for battery participating on the energy arbitrage market. This paper addresses this problem by using a model-free deep reinforcement learning (DRL) method to optimize the bat... Read More about Deep Reinforcement Learning Based Energy Storage Arbitrage With Accurate Lithium-ion Battery Degradation Model.

Cell equalisation circuits: A review (2020)
Journal Article
Fan. (2020). Cell equalisation circuits: A review. Journal of Power Sources, https://doi.org/10.1016/j.jpowsour.2019.227489

Large Li-ion battery packs are an enabling technology for electric vehicles, smart homes and the smart grid. Keeping the individual cells that make up the battery pack balanced reduces the loss of capacity over time and reduces the chances of damagin... Read More about Cell equalisation circuits: A review.