Outputs (249)

Stochastic Optimization of an Active Network Management Scheme for a DER-Rich Distribution Network Comprising Various Aggregators (2023)
Presentation / Conference Contribution
Adeniji, O., & Kazemtabrizi, B. (2023, June). Stochastic Optimization of an Active Network Management Scheme for a DER-Rich Distribution Network Comprising Various Aggregators. Presented at EEEIC2023: 23rd International Conference on Environment and Electrical Engineering, Madrid, Spain

With large-scale acceptance of solar and wind energy generation into electric grids, large energy storage is expected to provide sufficient flexibility for the safe, stable and economic operation of power systems under uncertainty. Active Network Man... Read More about Stochastic Optimization of an Active Network Management Scheme for a DER-Rich Distribution Network Comprising Various Aggregators.

A Reliability-Optimized Maximum Power Point Tracking Algorithm Utilizing Neural Networks for Long-Term Lifetime Prediction for Photovoltaic Power Converters (2023)
Journal Article
Shahbazi, M., Smith, N. A., Marzband, M., & Habib, H. U. R. (2023). A Reliability-Optimized Maximum Power Point Tracking Algorithm Utilizing Neural Networks for Long-Term Lifetime Prediction for Photovoltaic Power Converters. Energies, 16(16), Article 6071. https://doi.org/10.3390/en16166071

The reliability of power converters in photovoltaic systems is critical to the overall system reliability. This paper proposes a novel active thermal-controlled algorithm that aims to reduce the rate of junction temperature increase, therefore, incre... Read More about A Reliability-Optimized Maximum Power Point Tracking Algorithm Utilizing Neural Networks for Long-Term Lifetime Prediction for Photovoltaic Power Converters.

On Fine-tuned Deep Features for Unsupervised Domain Adaptation (2023)
Presentation / Conference Contribution
Wang, Q., Meng, F., & Breckon, T. (2023, June). On Fine-tuned Deep Features for Unsupervised Domain Adaptation. Presented at IJCNN 2023: International Joint Conference on Neural Networks, Queensland, Australia

Prior feature transformation based approaches to Unsupervised Domain Adaptation (UDA) employ the deep features extracted by pre-trained deep models without fine-tuning them on the specific source or target domain data for a particular domain adaptati... Read More about On Fine-tuned Deep Features for Unsupervised Domain Adaptation.

A material point/finite volume method for coupled shallow water flows and large dynamic deformations in seabeds (2023)
Journal Article
Zheng, X., Seaid, M., Pisanò, F., Hicks, M. A., Vardon, P. J., Huvaj, N., & Osman, A. S. (2023). A material point/finite volume method for coupled shallow water flows and large dynamic deformations in seabeds. Computers and Geotechnics, 162(October), Article 105673. https://doi.org/10.1016/j.compgeo.2023.105673

A hybrid material point/finite volume method for the numerical simulation of shallow water waves caused by large dynamic deformations in the bathymetry is presented. The proposed model consists of coupling the nonlinear shallow water equations for th... Read More about A material point/finite volume method for coupled shallow water flows and large dynamic deformations in seabeds.

Ultra-stretchable active metasurfaces for high-performance structural color (2023)
Journal Article
Ghasemi, A., Fang, R., Zeze, D. A., & Hedayati, M. K. (2023). Ultra-stretchable active metasurfaces for high-performance structural color. AIP Advances, 13(8), Article 085004. https://doi.org/10.1063/5.0156782

Metamaterials as artificially structural materials exhibit customized properties unattainable in nature. While dynamic response is highly desired, metamaterials are usually passive and cannot be tuned post-fabrication. A conventional active metamater... Read More about Ultra-stretchable active metasurfaces for high-performance structural color.

Numerical performance of different order explicit integration schemes with substepping and automatic error control (2023)
Presentation / Conference Contribution
Lloret-Cabot, M., & Sheng, D. (2023, June). Numerical performance of different order explicit integration schemes with substepping and automatic error control. Presented at 10th European Conference on Numerical Methods in Geotechnical Engineering, London

The numerical integration of the incremental stress-strain relations of a constitutive model for soils plays a central role in the overall computational performance of geotechnical finite element analyses and it is, therefore, desirable to have an ef... Read More about Numerical performance of different order explicit integration schemes with substepping and automatic error control.

A reinforcing transfer learning approach to predict buildings energy performance (2023)
Journal Article
Mahamedi, E., Wonders, M., Gerami Seresht, N., Woo, W. L., & Kassem, M. (2024). A reinforcing transfer learning approach to predict buildings energy performance. Construction Innovation: Information, Process, Management, 24(1), 242-255. https://doi.org/10.1108/ci-12-2022-0333

Purpose
The purpose of this paper is to propose a novel data-driven approach for predicting energy performance of buildings that can address the scarcity of quality data, and consider the dynamic nature of building systems.

Design/methodology/app... Read More about A reinforcing transfer learning approach to predict buildings energy performance.

A techno-economic investigation of conventional and innovative desiccant solutions based on moisture sorption analysis (2023)
Journal Article
Giampieri, A., Machado, Y., Ling-Chin, J., Roskilly, A. P., & Ma, Z. (2023). A techno-economic investigation of conventional and innovative desiccant solutions based on moisture sorption analysis. Heliyon, 9(8), Article e18825. https://doi.org/10.1016/j.heliyon.2023.e18825

Liquid desiccant technology is an energy-efficient substitute for technologies that are conventionally applied for temperature and humidity control; however, innovative desiccant solutions have not been extensively explored in terms of their performa... Read More about A techno-economic investigation of conventional and innovative desiccant solutions based on moisture sorption analysis.

Studies on the impact and compression-after-impact response of ‘Double-Double’carbon-fibre reinforced composite laminates (2023)
Book Chapter
Millen, S. L. J., Aravand, M. A., Ullah, Z., & Falzon, B. (2023). Studies on the impact and compression-after-impact response of ‘Double-Double’carbon-fibre reinforced composite laminates. In S. W. Tsai, B. G. Falzon, & A. Aravand (Eds.), Double-double: simplifying the design and manufacture of composite laminates (161-180). (2nd ed.). Stanford University Press

This chapter presents comparative high fidelity computational finite element (FE) modelling of low-velocity impact (LVI) damage and compression-after-impact (CAI) strength of both ‘Legacy Quad Laminates’ (LQL) and ‘Double-Double’ DD laminates, using... Read More about Studies on the impact and compression-after-impact response of ‘Double-Double’carbon-fibre reinforced composite laminates.

Evaluation of decarbonisation options for heritage church buildings (2023)
Journal Article
Khalid, Y., Ngwaka, U., Papworth, J., Ling-Chin, J., & Smallbone, A. (2023). Evaluation of decarbonisation options for heritage church buildings. Journal of Building Engineering, 77, Article 107462. https://doi.org/10.1016/j.jobe.2023.107462

Heritage church buildings are significant energy consumers and carbon emitters, but hard to decarbonise due to construction materials and designs, which presents an imperative challenge for churches that have a mission to achieve net-zero targets by... Read More about Evaluation of decarbonisation options for heritage church buildings.