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.

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.

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.

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.

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.

Consumer-centric decarbonization framework using Stackelberg game and Blockchain (2022)
Journal Article
Hua, W., Jiang, J., Sun, H., Teng, F., & Strbac, G. (2022). Consumer-centric decarbonization framework using Stackelberg game and Blockchain. Applied Energy, 309, Article 118384. https://doi.org/10.1016/j.apenergy.2021.118384

Energy policy is too often not designed for energy consumers in a low-cost and consumer-friendly manner. This paper proposes a novel Stackelberg game and Blockchain-based framework that enables consumer-centric decarbonization by automating iterative... Read More about Consumer-centric decarbonization framework using Stackelberg game and Blockchain.

Digital Twins based Day-ahead Integrated Energy System Scheduling under Load and Renewable Energy Uncertainties (2021)
Journal Article
You, M., Wang, Q., Sun, H., Castro, I., & Jiang, J. (2022). Digital Twins based Day-ahead Integrated Energy System Scheduling under Load and Renewable Energy Uncertainties. Applied Energy, 305, Article 117899. https://doi.org/10.1016/j.apenergy.2021.117899

By constructing digital twins (DT) of an integrated energy system (IES), one can benefit from DT’s predictive capabilities to improve coordinations among various energy converters, hence enhancing energy efficiency and cost saving.energy efficiency,... Read More about Digital Twins based Day-ahead Integrated Energy System Scheduling under Load and Renewable Energy Uncertainties.

Blockchain-Based Peer-to-Peer Energy Trading Method (2021)
Journal Article
Thompson, M. J., Sun, H., & Jiang, J. (2022). Blockchain-Based Peer-to-Peer Energy Trading Method. CSEE journal of power and energy systems, 8(5), 1318-1326. https://doi.org/10.17775/cseejpes.2021.00010

Blockchain-enabled peer-to-peer energy trading provides a method for neighbours and communities to trade energy generated from local and distributed renewable energy sources. Effective matching can facilitate greater energy efficiency during transmis... Read More about Blockchain-Based Peer-to-Peer Energy Trading Method.

QoS-Balancing Algorithm for Optimal Relay Selection in Heterogeneous Vehicular Networks (2021)
Journal Article
Alnasser, A., Sun, H., & Jiang, J. (2022). QoS-Balancing Algorithm for Optimal Relay Selection in Heterogeneous Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, 23(7), 8223-8233. https://doi.org/10.1109/tits.2021.3076901

Intelligent Transportation System (ITS) could facilitate communications among various road entities to improve the driver's safety and driving experience. These communications are called Vehicle-to-Everything (V2X) communications that can be supporte... Read More about QoS-Balancing Algorithm for Optimal Relay Selection in Heterogeneous Vehicular Networks.

Key performance‐cost tradeoffs in smart electric vehicle charging with distributed generation (2021)
Journal Article
Heron, J. W., Sun, H., Alizadeh‐Mousavi, O., & Crossland, A. (2021). Key performance‐cost tradeoffs in smart electric vehicle charging with distributed generation. IET Smart Grid, 4(6), 561-581. https://doi.org/10.1049/stg2.12041

Growing penetration of Electric Vehicles (EV) and Distributed Generation (DG) is driving sharper peaks in demand and supply, which, if poorly managed, manifest as over- or undervoltage and disrupt grid service quality. Smart charging schemes reschedu... Read More about Key performance‐cost tradeoffs in smart electric vehicle charging with distributed generation.

Closest Energy Matching: Improving peer‐to‐peer energy trading auctions for EV owners (2021)
Journal Article
Thomas, H., Sun, H., & Kazemtabrizi, B. (2021). Closest Energy Matching: Improving peer‐to‐peer energy trading auctions for EV owners. IET Smart Grid, 4(4), 445-460. https://doi.org/10.1049/stg2.12016

Herein, a novel approach to conduct peer-to-peer energy auctions for electric vehicles (EVs) to benefit both buyers and sellers is presented. It considers a scenario where households can sell their surplus solar energy to visiting EVs that make use o... Read More about Closest Energy Matching: Improving peer‐to‐peer energy trading auctions for EV owners.

Delay Guaranteed Joint User Association and Channel Allocation for Fog Radio Access Networks (2021)
Journal Article
You, M., Zheng, G., Chen, T., Sun, H., & Chen, K. (2021). Delay Guaranteed Joint User Association and Channel Allocation for Fog Radio Access Networks. IEEE Transactions on Wireless Communications, 20(6), 3723-3733. https://doi.org/10.1109/twc.2021.3053155

In the Fog Radio Access Networks (F-RANs), the local storage and computing capability of Fog Access Points (FAPs) provide new communication resources to address the latency and computing constraints for delay-sensitive applications. To achieve the ul... Read More about Delay Guaranteed Joint User Association and Channel Allocation for Fog Radio Access Networks.

Covert Communication with Relay Selection (2020)
Journal Article
Su, Y., Sun, H., Zhang, Z., Lian, Z., Xie, Z., & Wang, Y. (2021). Covert Communication with Relay Selection. IEEE Wireless Communications Letters, 10(2), 421-425. https://doi.org/10.1109/lwc.2020.3033786

In this letter, we investigate covert communication in relay networks with relay selection. We consider the scenario that while forwarding the source’s message, the selected relay opportunistically transmits its own message to the destination covertl... Read More about Covert Communication with Relay Selection.

Coil Design for Wireless Vehicle-to-Vehicle Charging Systems (2020)
Journal Article
Mou, X., Gladwin, D. T., Zhao, R., Sun, H., & Yang, Z. (2020). Coil Design for Wireless Vehicle-to-Vehicle Charging Systems. IEEE Access, 8, 172723-172733. https://doi.org/10.1109/access.2020.3025787

Electric Vehicles (EVs) are seeing increasing worldwide adoption, largely due to their reduced greenhouse gas emissions and reliance on hydrocarbons. Slow advances in battery technology are one of major factors restricting the development of EVs. Man... Read More about Coil Design for Wireless Vehicle-to-Vehicle Charging Systems.

A Blockchain Based Peer-to-Peer Trading Framework Integrating Energy and Carbon Markets (2020)
Journal Article
Hua, W., Jiang, J., Sun, H., & Wu, J. (2020). A Blockchain Based Peer-to-Peer Trading Framework Integrating Energy and Carbon Markets. Applied Energy, 279, Article 115539. https://doi.org/10.1016/j.apenergy.2020.115539

Prosumers are active participants in future energy systems who produce and consume energy. However, the emerging role of prosumers brings challenges of tracing carbon emissions behaviours and formulating pricing scheme targeting on individual prosump... Read More about A Blockchain Based Peer-to-Peer Trading Framework Integrating Energy and Carbon Markets.

Recommendation-based Trust Model for Vehicle-to-Everything (V2X) (2019)
Journal Article
Alnasser, A., Sun, H., & Jiang, J. (2020). Recommendation-based Trust Model for Vehicle-to-Everything (V2X). IEEE Internet of Things Journal, 7(1), 440-450. https://doi.org/10.1109/jiot.2019.2950083

Intelligent Transportation System (ITS) is one of the main systems which have been developed to achieve safe traffic and efficient transportation. It enables the vehicles to establish connections with other road entities and infrastructure units usin... Read More about Recommendation-based Trust Model for Vehicle-to-Everything (V2X).

Stackelberg Game-theoretic Model for Low Carbon Energy Market Scheduling (2019)
Journal Article
Hua, W., Li, D., Sun, H., & Matthews, P. (2020). Stackelberg Game-theoretic Model for Low Carbon Energy Market Scheduling. IET Smart Grid, 3(1), 31-41. https://doi.org/10.1049/iet-stg.2018.0109

Excessive carbon emissions have posed a threat to sustainable development. An appropriate market-based low carbon policy becomes the essence of regulating strategy for reducing carbon emissions in the energy sector. This study proposes a Stackelberg... Read More about Stackelberg Game-theoretic Model for Low Carbon Energy Market Scheduling.

Achieving Low Carbon Emission for Dynamically Charging Electric Vehicles through Renewable Energy Integration (2019)
Journal Article
Mou, X., Zhang, Y., Jiang, J., & Sun, H. (2019). Achieving Low Carbon Emission for Dynamically Charging Electric Vehicles through Renewable Energy Integration. IEEE Access, 7, 118876-118888. https://doi.org/10.1109/access.2019.2936935

Dynamic wireless charging for Electric Vehicles (EVs) can promote the take-up of EVs due to its potential of extending the driving range and reducing the size and cost of batteries of EVs. However, its dynamic charging demand and rigorous operation r... Read More about Achieving Low Carbon Emission for Dynamically Charging Electric Vehicles through Renewable Energy Integration.

Survey on Magnetic Resonant Coupling Wireless Power Transfer Technology for Electric Vehicle Charging (2019)
Journal Article
Mou, X., Gladwin, D. T., Zhao, R., & Sun, H. (2019). Survey on Magnetic Resonant Coupling Wireless Power Transfer Technology for Electric Vehicle Charging. IET Power Electronics, 12(12), 3005-3020. https://doi.org/10.1049/iet-pel.2019.0529

Wireless Power Transfer technology (WPT) makes it possible to supply power through an air-gap, without the need for current-carrying wires. One important technique of WPT technology is magnetic resonant coupling (MRC) WPT. Based on the advantages of... Read More about Survey on Magnetic Resonant Coupling Wireless Power Transfer Technology for Electric Vehicle Charging.