Outputs (21)

Electric Vehicle Battery Pack Design for Mitigating Thermal Runaway Propagation (2022)
Presentation / Conference Contribution
Copsey, E., Sun, H., & Jiang, J. (2022, September). Electric Vehicle Battery Pack Design for Mitigating Thermal Runaway Propagation. Presented at 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), London

The production of electric vehicle battery packs with ever-increasing energy densities has accelerated the electrification of the world’s automotive industry. With increased attention on the electric vehicle markets, it is vital to increase the safet... Read More about Electric Vehicle Battery Pack Design for Mitigating Thermal Runaway Propagation.

Digital Twins for Smart Cities: Case Study and Visualisation via Mixed Reality (2022)
Presentation / Conference Contribution
Piper, W., Sun, H., & Jiang, J. (2022, September). Digital Twins for Smart Cities: Case Study and Visualisation via Mixed Reality. Presented at 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), London

Digital twins is an increasingly valuable technology for realising smart cities worldwide. Visualising this technology using mixed reality creates unprecedented opportunities to easily access relevant data and information. In this paper, a digital tw... Read More about Digital Twins for Smart Cities: Case Study and Visualisation via Mixed Reality.

Transactive Energy and Flexibility Provision in Multi-microgrids using Stackelberg Game (2022)
Journal Article
Hua, W., Xiao, H., Pei, W., Chiu, W.-Y., Jiang, J., Sun, H., & Matthews, P. (2023). Transactive Energy and Flexibility Provision in Multi-microgrids using Stackelberg Game. CSEE journal of power and energy systems, 9(2), 505-515. https://doi.org/10.17775/cseejpes.2021.04370

Aggregating the demand side flexibility is essential to complementing the inflexible and variable renewable energy supply in achieving low carbon energy systems. Sources of demand side flexibility, e.g., dispatchable generators, storages, and flexibl... Read More about Transactive Energy and Flexibility Provision in Multi-microgrids using Stackelberg Game.

A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization (2022)
Presentation / Conference Contribution
Deng, H., Jiang, J., Qian, H., & Sun, H. (2022, October). A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization. Presented at 6th International Conference on Smart Grid and Smart Cities (ICSGSC 2022), Chengdu, China

Microgrid is playing an increasingly important role in making the utility grid more intelligent and efficient, since it can make better use of the renewable energy resources to simultaneously relieve the grid supply pressure and reduce carbon emissio... Read More about A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization.

Demand side management considering household appliances and EV (2022)
Presentation / Conference Contribution
Dong, Z., Jiang, J., Qian, H., & Sun, H. (2022, October). Demand side management considering household appliances and EV. Presented at 6th International Conference on Smart Grid and Smart Cities (ICSGSC 2022), Chengdu, China

Combination of the information technology and the power engineering is the feature of next-generation grid. Depending on bidirectional communications, demand side management (DSM) aims at optimizing the electricity usage pattern of customers to impro... Read More about Demand side management considering household appliances and EV.

Protecting privacy in microgrids using federated learning and deep reinforcement learning (2022)
Presentation / Conference Contribution
Chen, W., Sun, H., Jiang, J., You, M., & Piper, W. (2022, November). Protecting privacy in microgrids using federated learning and deep reinforcement learning. Presented at 12th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2022), Hong Kong, China

This paper aims to improve the energy management efficiency of home microgrids while preserving privacy. The proposed microgrid model includes energy storage systems, PV panels, loads, and the connection to the main grid. A federated multi-objective... Read More about Protecting privacy in microgrids using federated learning and deep reinforcement learning.

Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems (2022)
Presentation / Conference Contribution
Correa-Delval, M., Sun, H., Matthews, P. C., & Chiu, W.-Y. (2022, September). Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems. Presented at 2022 5th International Conference on Renewable Energy and Power Engineering (REPE 2021), Beijing, China

In recent years, the importance of reducing carbon dioxide (CO2) emissions has increased. With the use of technologies such as artificial intelligence, we can improve the way households manage their energy use to decrease cost and carbon emissions. I... Read More about Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems.

Genetic algorithms for the design of planar THz antenna (2022)
Journal Article
Fenlon, V., Cooke, M., Mayock, J., Gallant, A., & Balocco, C. (2022). Genetic algorithms for the design of planar THz antenna. Journal of Applied Physics, 132, https://doi.org/10.1063/5.0120128

This paper proposes a genetic algorithm for the design of passive components operating at THz frequencies and its experimental validation using an exemplar patch antenna. The patch antenna is based on an SU8 substrate, with a binary array describing... Read More about Genetic algorithms for the design of planar THz antenna.

Weyl Estimates for spacelike hypersurfaces in de Sitter space (2022)
Journal Article
Ballesteros-Chavez, D., Klingenberg, W., & Lambert, B. (2022). Weyl Estimates for spacelike hypersurfaces in de Sitter space. Pacific journal of mathematics, 320(1), 1-11. https://doi.org/10.2140/pjm.2022.320.1

We study the isometric spacelike embedding problem in scaled de Sitter space, and obtain Weyl-type estimates and the corresponding closedness in the space of embeddings.

Dynamic Pricing and Control for EV Charging Stations with Solar Generation (2022)
Journal Article
Hernandez Cedillo, M., Sun, H., Jiang, J., & Cao, Y. (2022). Dynamic Pricing and Control for EV Charging Stations with Solar Generation. Applied Energy, 326, Article 119920. https://doi.org/10.1016/j.apenergy.2022.119920

Demand response is one of the most promising tools for smart grids to integrate more renewable energy sources. One critical challenge to overcome is how to establish pricing and control strategies for integrating more electric vehicles (EVs) and rene... Read More about Dynamic Pricing and Control for EV Charging Stations with Solar Generation.

Evaluating Gaussian Grasp Maps for Generative Grasping Models (2022)
Presentation / Conference Contribution
Prew, W., Breckon, T., Bordewich, M., & Beierholm, U. (2022, July). Evaluating Gaussian Grasp Maps for Generative Grasping Models. Presented at Proc. Int. Joint Conf. Neural Networks, Padova, Italy

Generalising robotic grasping to previously unseen objects is a key task in general robotic manipulation. The current method for training many antipodal generative grasping models rely on a binary ground truth grasp map generated from the centre thir... Read More about Evaluating Gaussian Grasp Maps for Generative Grasping Models.

5G to 6G: A Paradigm Shift in Radio Channel Modeling (2022)
Journal Article
Salous, S., Haneda, K., & Degli‐Esposti, V. (2022). 5G to 6G: A Paradigm Shift in Radio Channel Modeling. Radio Science, 57(7), https://doi.org/10.1029/2022rs007447

Since the publication of the special collection on Radio Channel Modeling for 5G Millimeter Wave Communications in the Built Environments new frequency bands, new antennas and new transmission techniques are being proposed to cope with the demanding... Read More about 5G to 6G: A Paradigm Shift in Radio Channel Modeling.

Statistical Power Grid Observability under NOMA-based Communication Constraints (2022)
Presentation / Conference Contribution
Zhan, Q., Liu, N., Pan, Z., & Sun, H. (2022, May). Statistical Power Grid Observability under NOMA-based Communication Constraints. Presented at 2022 3rd International Conference on Wireless Communications and Big Data., Qingdao, China

This paper studies the observability of the power grid by jointly considering the power system with the wireless communication system under the strict latency requirements of Phasor Measurement Units (PMUs), which is characterized via the theory of e... Read More about Statistical Power Grid Observability under NOMA-based Communication Constraints.

Statistical Power Grid Observability under Finite Blocklength (2022)
Presentation / Conference Contribution
Zhan, Q., Liu, N., Pan, Z., & Sun, H. (2022, May). Statistical Power Grid Observability under Finite Blocklength. Presented at 2022 3rd International Conference on Computing, Networks and Internet of Things, Qingdao, China

We study the stochastic observability of the power grid system under communication constraints in the finite blocklength regime. Compared to the study under the assumption of infinite blocklength, we introduce two new elements: probability of decodin... Read More about Statistical Power Grid Observability under Finite Blocklength.

A novel deep learning based peer‐to‐peer transaction method for prosumers under two‐stage market environment (2022)
Journal Article
Peng, D., Xiao, H., Pei, W., Sun, H., & Ye, S. (2022). A novel deep learning based peer‐to‐peer transaction method for prosumers under two‐stage market environment. IET Smart Grid, 5(6), 430-439. https://doi.org/10.1049/stg2.12078

With the development of the electricity market, peer-to-peer (P2P) transaction plays an important role in promoting local consumption of renewable energy and arousing the enthusiasm of prosumers. However, due to the diversification of prosumers, the... Read More about A novel deep learning based peer‐to‐peer transaction method for prosumers under two‐stage market environment.

On the Complexity of Optimising Variants of Phylogenetic Diversity on Phylogenetic Networks (2022)
Journal Article
Bordewich, M., Semple, C., & Wicke, K. (2022). On the Complexity of Optimising Variants of Phylogenetic Diversity on Phylogenetic Networks. Theoretical Computer Science, 917, 66-80. https://doi.org/10.1016/j.tcs.2022.03.012

Phylogenetic Diversity (PD) is a prominent quantitative measure of the biodiversity of a collection of present-day species (taxa). This measure is based on the evolutionary distance among the species in the collection. Loosely speaking, if T is a roo... Read More about On the Complexity of Optimising Variants of Phylogenetic Diversity on Phylogenetic Networks.

Long‐Term Rain Attenuation Measurement for Short‐Range mmWave Fixed Link Using DSD and ITU‐R Prediction Models (2022)
Journal Article
Zahid, O., & Salous, S. (2022). Long‐Term Rain Attenuation Measurement for Short‐Range mmWave Fixed Link Using DSD and ITU‐R Prediction Models. Radio Science, 57(4), https://doi.org/10.1029/2021rs007307

Several millimeter Wave (mmWave) bands, which suffer from rain attenuation, were identified in the World Radiocommunication Conference 2019 (WRC-19) for fifth generation (5G) radio networks. In this paper, long-term attenuation is measured over typic... Read More about Long‐Term Rain Attenuation Measurement for Short‐Range mmWave Fixed Link Using DSD and ITU‐R Prediction Models.

Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review (2022)
Journal Article
Hua, W., Chen, Y., Qadrdan, M., Jiang, J., Sun, H., & Wu, J. (2022). Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review. Renewable and Sustainable Energy Reviews, 161, Article 112308. https://doi.org/10.1016/j.rser.2022.112308

Governments’ net zero emission target aims at increasing the share of renewable energy sources as well as influencing the behaviours of consumers to support the cost-effective balancing of energy supply and demand. These will be achieved by the advan... Read More about Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review.

Data-driven prosumer-centric energy scheduling using convolutional neural networks (2022)
Journal Article
Hua, W., Jiang, J., Sun, H., Tonello, A., Qadrdan, M., & Wu, J. (2022). Data-driven prosumer-centric energy scheduling using convolutional neural networks. Applied Energy, 308, Article 118361. https://doi.org/10.1016/j.apenergy.2021.118361

The emerging role of energy prosumers (both producers and consumers) enables a more flexible and localised structure of energy markets. However, it leads to challenges for the energy scheduling of individual prosumers in terms of identifying idiosync... Read More about Data-driven prosumer-centric energy scheduling using convolutional neural networks.

On the Maximum Agreement Subtree Conjecture for Balanced Trees (2022)
Journal Article
Bordewich, M., Linz, S., Owen, M., St. John, K., Semple, C., & Wicke, K. (2022). On the Maximum Agreement Subtree Conjecture for Balanced Trees. SIAM Journal on Discrete Mathematics, 36(1), 336-354. https://doi.org/10.1137/20m1379678

We give a counterexample to the conjecture of Martin and Thatte that two balanced rooted binary leaf-labelled trees on n leaves have a maximum agreement subtree (MAST) of size at least n 1 2 . In particular, we show that for any c > 0, there exist tw... Read More about On the Maximum Agreement Subtree Conjecture for Balanced Trees.