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Outputs (444)

Sub-Micron 3d Holographic Lithography (2009)
Patent
Purvis, A., McWilliam, R., Curry, R., Andrew, M., Williams, G., Seed, L., …Ivey, P. (2009). Sub-Micron 3d Holographic Lithography

Holographic Lithography (2004)
Patent
Purvis, A., McWilliam, R., Seed, N., Williams, G., Ivey, P., Maiden, A., & Johnson, S. (2006). Holographic Lithography. WO2006021818

Method of generating a holographic diffraction pattern and a holographic lithography system are disclosed, the method comprising the steps of: defining at least one geometrical shape; generating at least one line segment to represent the at least one... Read More about Holographic Lithography.

Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G (2023)
Presentation / Conference Contribution
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.

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). 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.

Electric Vehicle Battery Pack Design for Mitigating Thermal Runaway Propagation (2022)
Presentation / Conference Contribution
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.

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. (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.

A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization (2022)
Presentation / Conference Contribution
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.

Evaluating Gaussian Grasp Maps for Generative Grasping Models (2022)
Presentation / Conference Contribution
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.

Digital Twins for Smart Cities: Case Study and Visualisation via Mixed Reality (2022)
Presentation / Conference Contribution
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.

Statistical Power Grid Observability under Finite Blocklength (2022)
Presentation / Conference Contribution
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.

Demand side management considering household appliances and EV (2022)
Presentation / Conference Contribution
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.

Statistical Power Grid Observability under NOMA-based Communication Constraints (2022)
Presentation / Conference Contribution
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.