Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

Explore some of the Open Access research from Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

Browse by Author or creator

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Publication Date | Item type | No Grouping
Jump to: 2020 | 2019 | 2018 | 2015 | 2014
Number of items: 10.

2020

Lin, Zi and Liu, Xiaolei and Collu, Maurizio (2020) Wind power prediction based on High-frequency SCADA data along with isolation forest and deep learning neural networks. International Journal of Electrical Power & Energy Systems, 118. 105835. ISSN 0142-0615

Lin, Zi and Liu, Xiaolei (2020) Assessment of wind turbine aero-hydro-servo-elastic modelling on the effects of mooring line tension via deep learning. Energies, 13 (9). 2264. ISSN 1996-1073

2019

Lin, Zi and Cevasco, Debora and Collu, Maurizio (2019) A methodology to develop reduced-order models to support the operation and maintenance of offshore wind turbines. Applied Energy. 114228. ISSN 0306-2619

Kong, Fankai and Su, Weiming and Liu, Hengxu and Collu, Maurizio and Lin, Zi and Chen, Hailong and Zheng, Xiongbo (2019) Investigation on PTO control of a combined axisymmetric buoy-WEC(CAB-WEC). Ocean Engineering, 188. 106245. ISSN 0029-8018

Lin, Z. and Stetco, A. and Carmona-Sanchez, J. and Cevasco, D. and Collu, M. and Nenadic, G. and Marjanovic, O. and Barnes, M. (2019) Progress on the development of a holistic coupled model of dynamics for offshore wind farms : phase II - study on a data-driven based reduced-order model for a single wind turbine. In: 38th International Conference on Ocean, Offshore & Arctic Engineering, 2019-06-09 - 2019-06-14, Scottish Event Campus.

Carmona-Sanchez, J. and Lin, Z. and Collu, M. and Barnes, M. and Marjanovic, O. and Cevasco, D.; (2019) An analysis of the impact of an advanced aero-hydro-servo-elastic model of dynamics on the generator-converter dynamics, for an offshore fixed 5MW PMSG wind turbine. In: 15th IET International Conference on AC and DC Power Transmission (ACDC 2019) - Proceedings. IEEE, GBR. ISBN 9781839530074

2018

Cevasco, D. and Collu, M. and Lin, Z. (2018) O&M cost-based FMECA : identification and ranking of the most critical components for 2-4 MW geared offshore wind turbines. Journal of Physics: Conference Series, 1102 (1). 012039. ISSN 1742-6588

2015

Lin, Zi and Sayer, P. (2015) Influence of water depth variation on the hydrodynamics of deep-water mooring characteristics. Ocean Engineering, 109. pp. 553-566. ISSN 0029-8018

Lin, Zi and Sayer, P. (2015) An enhanced stiffness model for elastic lines and its application to the analysis of a moored floating offshore wind turbine. Ocean Engineering, 109. pp. 444-453. ISSN 0029-8018

2014

Sayer, Philip and Lin, Zi (2014) A hydrodynamic study of deep-water mooring characteristics. In: The 24th International Ocean and Polar Engineering Conference (ISOPE 2014), 2014-06-15 - 2014-06-20, BEXCO.

This list was generated on Fri Jul 10 05:47:48 2020 BST.