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Towards Cyber Security for Low-Carbon Transportation: Overview, Challenges and Future Directions (2023)
Journal Article
Cao, Y., Li, S., Lv, C., Wang, D., Sun, H., Jiang, J., …Cheng, X. (2023). Towards Cyber Security for Low-Carbon Transportation: Overview, Challenges and Future Directions. Renewable and Sustainable Energy Reviews, 183, Article 113401. https://doi.org/10.1016/j.rser.2023.113401

In recent years, low-carbon transportation has become an indispensable part as sustainable development strategies of various countries, and plays a very important responsibility in promoting low-carbon cities. However, the security of low-carbon tran... Read More about Towards Cyber Security for Low-Carbon Transportation: Overview, Challenges and Future Directions.

Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G (2023)
Conference Proceeding
Thomas, H., Sun, H., & Kazemtabrizi, B. (2023). Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G. In 2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East). https://doi.org/10.1109/isgtmiddleeast56437.2023.10078520

The uptake of electric vehicles and distributed energy generation is adding significant new demand to distribution networks, however it is unknown whether this can be accommodated by existing infrastructure. This paper first presents an Optimisation... Read More about Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G.

Concurrent Spoofing-Jamming Attack in Massive MIMO Systems with a Full-Duplex Multi-Antenna Eavesdropper (2023)
Journal Article
Alageli, M., Ikhlef, A., & Chambers, J. (2023). Concurrent Spoofing-Jamming Attack in Massive MIMO Systems with a Full-Duplex Multi-Antenna Eavesdropper. IEEE Transactions on Vehicular Technology, 72(8), 10534 - 10547. https://doi.org/10.1109/tvt.2023.3262002

In this paper, we evaluate the ultimate severity of a concurrent spoofing-jamming un-detected attack from a fullduplex (FD) multi-antenna eavesdropper (EV) on a legitimate user equipment (UE) in a massive multiple-input multipleoutput (MIMO) system.... Read More about Concurrent Spoofing-Jamming Attack in Massive MIMO Systems with a Full-Duplex Multi-Antenna Eavesdropper.

Regularity and Continuity properties of the sub-Riemannian exponential map (2023)
Journal Article
Borza, S., & Klingenberg, W. (2023). Regularity and Continuity properties of the sub-Riemannian exponential map. Journal of Dynamical and Control Systems, 29(4), 1385-1407. https://doi.org/10.1007/s10883-022-09624-y

We prove a version of Warner’s regularity and continuity properties for the sub-Riemannian exponential map. The regularity property is established by considering sub-Riemannian Jacobi fields while the continuity property follows from studying the Mas... Read More about Regularity and Continuity properties of the sub-Riemannian exponential map.

Digital Twins for Smart Cities: Case Study and Visualisation via Mixed Reality (2022)
Conference Proceeding
Piper, W., Sun, H., & Jiang, J. (2022). Digital Twins for Smart Cities: Case Study and Visualisation via Mixed Reality. . https://doi.org/10.1109/vtc2022-fall57202.2022.10012753

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., 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.

Electric Vehicle Battery Pack Design for Mitigating Thermal Runaway Propagation (2022)
Conference Proceeding
Copsey, E., Sun, H., & Jiang, J. (2022). Electric Vehicle Battery Pack Design for Mitigating Thermal Runaway Propagation. . https://doi.org/10.1109/vtc2022-fall57202.2022.10012777

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.

A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization (2022)
Conference Proceeding
Deng, H., Jiang, J., Qian, H., & Sun, H. (2022). A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization. . https://doi.org/10.1109/icsgsc56353.2022.9963000

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)
Conference Proceeding
Dong, Z., Jiang, J., Qian, H., & Sun, H. (2022). Demand side management considering household appliances and EV. . https://doi.org/10.1109/icsgsc56353.2022.9963032

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)
Conference Proceeding
Chen, W., Sun, H., Jiang, J., You, M., & Piper, W. (2022). Protecting privacy in microgrids using federated learning and deep reinforcement learning. . https://doi.org/10.1049/icp.2023.0100

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)
Conference Proceeding
Correa-Delval, M., Sun, H., Matthews, P. C., & Chiu, W. (2022). Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems. . https://doi.org/10.1109/repe55559.2022.9949497

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.

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)
Conference Proceeding
Prew, W., Breckon, T., Bordewich, M., & Beierholm, U. (2022). Evaluating Gaussian Grasp Maps for Generative Grasping Models.

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)
Conference Proceeding
Zhan, Q., Liu, N., Pan, Z., & Sun, H. (2022). Statistical Power Grid Observability under NOMA-based Communication Constraints. . https://doi.org/10.1109/cniot55862.2022.00017

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)
Conference Proceeding
Zhan, Q., Liu, N., Pan, Z., & Sun, H. (2022). Statistical Power Grid Observability under Finite Blocklength. . https://doi.org/10.1109/cniot55862.2022.00026

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.