Outputs (12)

Blockchain Smart Contracts for Grid Connection Management in Achieving Net Zero Energy Systems (2021)
Presentation / Conference Contribution
Hua, W., Jing, R., Zhou, Y., Zhang, X., Jiang, J., & Sun, H. (2023, November). Blockchain Smart Contracts for Grid Connection Management in Achieving Net Zero Energy Systems. Presented at 13th International Conference on Applied Energy (ICAE 2021), Bangkok

Energy systems are transitioning towards a decentralized and decarbonized paradigm with the integration of distributed renewable energy sources. Blockchain smart contracts have the increasing potential to facilitate the transition of energy systems d... Read More about Blockchain Smart Contracts for Grid Connection Management in Achieving Net Zero Energy Systems.

Short-term load forecasting using artificial neural networks and social media data (2021)
Presentation / Conference Contribution
Boyd, A., Sun, H., Black, M., & Jesson, S. (2021, September). Short-term load forecasting using artificial neural networks and social media data. Presented at CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution, Online Conference

Evolving practices around energy generation, storage and trading within the UK have made it more necessary than ever to provide accurate means of forecasting electricity demand. This paper considers deep neural networks with convolutional and recurre... Read More about Short-term load forecasting using artificial neural networks and social media data.

Appliance Classification using BiLSTM Neural Networks and Feature Extraction (2021)
Presentation / Conference Contribution
Correa-Delval, M., Sun, H., Matthews, P., & Jiang, J. (2021, October). Appliance Classification using BiLSTM Neural Networks and Feature Extraction. Presented at IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Espoo, Finland

One significant challenge in Non-Intrusive Load Monitoring (NILM) is to identify and classify active appliances used in a building. This research focuses on the classifying process, exploring different approaches for the feature extraction of the app... Read More about Appliance Classification using BiLSTM Neural Networks and Feature Extraction.

Reinforcement Learning Based Load Balancing for Geographically Distributed Data centres (2021)
Presentation / Conference Contribution
Mackie, M., Sun, H., & Jiang, J. (2021, October). Reinforcement Learning Based Load Balancing for Geographically Distributed Data centres. Presented at IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) 2021, Espoo, Finland

This paper proposes a method of migrating workload among geo-distributed data centres that are equipped with on-site renewable energy sources (RES), such as solar and wind energy, to decarbonise data centres. It aims to optimise the performance of su... Read More about Reinforcement Learning Based Load Balancing for Geographically Distributed Data centres.

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.

A Data Augmentation based DNN Approach for Outage-Constrained Robust Beamforming (2021)
Presentation / Conference Contribution
You, M., Zheng, G., & Sun, H. (2021, June). A Data Augmentation based DNN Approach for Outage-Constrained Robust Beamforming. Presented at ICC 2021 - IEEE International Conference on Communications, Montreal, Quebec

This paper studies the long-standing problem of outage-constrained robust downlink beamforming in the multiuser multi-antenna wireless communications systems. State of the art solutions have very high computational complexity which poses a major chal... Read More about A Data Augmentation based DNN Approach for Outage-Constrained Robust Beamforming.

Trust-based Model for Securing Vehicular Networks Against RSU Attacks (2021)
Presentation / Conference Contribution
Alnasser, A., & Sun, H. (2021, May). Trust-based Model for Securing Vehicular Networks Against RSU Attacks. Presented at IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Vancouver, BC

Intelligent Transportation System (ITS) is one of the Internet of Things (IoT) systems that can achieve reliable transportation by providing communications between vehicles and infrastructure units. The interaction between them is called Vehicle-to-E... Read More about Trust-based Model for Securing Vehicular Networks Against RSU Attacks.

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.-C. (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.