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Powering innovation in artificial intelligence with Open Access research...

Artificial intelligence (AI) and machine learning (ML) together represent a research frontier with a wide variety of discipline specific applications. At Strathclyde researchers in Computer & Information Sciences are exploring improved AI planning models to enable improved decision making by automous agents. Meanwhile, research conducted by the Aerospace Centre of Excellence is using AI and computational techniques to optimize the efficacy of certain astronautic applications. This includes 'global trajectory optimization' to aircraft and spacecraft design, from the planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites.

AI is also transforming the research agenda within Finance, where researchers are exploring the potential of AI and machine learning in evaluating banking risks and in new, emerging aspects of FinTech.

Explore some of this Open Access research from Computer & Information Sciences, Aerospace Centre of Excellence and Finance. Or explore all of Strathclyde's Open Access research...

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Number of items: 8.

Article

Argent, Michael and McDonald, Alasdair and Giles, Alexander (2019) Optimisation of design and operation of generators for offshore vertical axis wind turbines. Wind Energy, 22 (10). pp. 1324-1342. ISSN 1095-4244

Argent, Michael and McDonald, Alasdair and Leithead, Bill and Giles, Alexander (2016) Speed and torque control strategies for loss reduction of vertical axis wind turbines. Journal of Physics: Conference Series, 753. 112007. ISSN 1742-6588

Parker, Max Alexander and Soraghan, Conaill and Giles, Alex (2016) Comparison of power electronics lifetime between vertical- and horizontal-axis wind turbines. IET Renewable Power Generation. ISSN 1752-1416

Book Section

Giles, A.D. and Reguera, L. and Roscoe, A.J.; (2015) Optimal controller gains for inner current controllers in VSC inverters. In: International Conference on Renewable Power Generation (RPG 2015), 2015. IET, CHN. ISBN 978-1-78561-040-0

Conference or Workshop Item

Florida-James, Anthony and Giles, Alexander and Burt, Graeme and McArthur, Stephen (2018) Predictive capabilities of linearised models for converter-interfaced battery storage in LV networks. In: CDT Masterclass 2018, 2018-07-09 - 2018-07-11, University of Sheffield.

Argent, Michael and McDonald, Alasdair and Leithead, Bill and Giles, Alexander (2016) Speed and torque control strategies for loss reduction of vertical axis wind turbines. In: The Science of Making Torque from Wind 2016, 2016-10-05 - 2016-10-07, Technische Universit√§t M√ľnchen (TUM), Campus Garching. (In Press)

Giles, Alexander and Roscoe, Andrew and Anaya-Lara, Olimpo (2014) Appropriate means of frequency measurement for the provision of inertial response from a wind turbine. In: ASRANet International Conference on Offshore Renewable Energy, 2014-09-15 - 2014-09-17, Thistle Hotel.

Report

Giles, Alexander Duncan (2017) Wind Panel Manual : Modelling the Aerodynamics of Wind Turbines. [Report]

This list was generated on Mon Aug 3 14:01:34 2020 BST.