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.

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Number of items: 7.

Rocchetta, Roberto and Patelli, Edoardo (2018) Assessment of power grid vulnerabilities accounting for stochastic loads and model imprecision. Electrical Power and Energy Systems, 98. pp. 219-232. ISSN 0142-0615

Xu, Beibei and Chen, Diyi and Tolo, Silvia and Patelli, Edoardo and Jiang, Yanlong (2018) Model validation and stochastic stability of a hydro-turbine governing system under hydraulic excitations. Electrical Power and Energy Systems, 95. pp. 156-165. ISSN 0142-0615

Liu, Hongshun and Li, Qingmin and Zou, Liang and Zhang, Li and Siew, Wah Siew (2012) Comparative study on the static and dynamic characteristics of four types of PMFCLs for large capacity applications. Electrical Power and Energy Systems, 34 (1). pp. 47-56. ISSN 0142-0615

Wu, W.C. and Zhang, B.M. and Lo, K.L. (2010) Capacitors dispatch for quasi minimum energy loss in distribution systems using a loop-analysis based method. Electrical Power and Energy Systems, 32 (6). 543–550. ISSN 0142-0615

Kockar, I. and Conejo, A. and McDonald, J.R. (2009) Influence of the Emissions Trading Scheme on generation scheduling. Electrical Power and Energy Systems, 31 (9). pp. 465-473. ISSN 0142-0615

Paul, J.-P. and Bell, K.R.W. (2004) A flexible and comprehensive approach to the assessment of large-scale power system security under uncertainty. Electrical Power and Energy Systems, 26 (4). pp. 265-272. ISSN 0142-0615

Tumay, M. and Vural, A. and Lo, K.L. (2004) The effect of unified power flow controller location in power systems. Electrical Power and Energy Systems, 26 (8). pp. 561-569. ISSN 0142-0615

This list was generated on Sun Jul 12 23:30:31 2020 BST.