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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: 14.

Marthinsen, Håkon and Plecas, Milana and Morch, Andrei Z. and Kockar, Ivana and Džamarija, Mario (2017) Aggregation model for curtailable generation and sheddable loads. CIRED Open Access Proceedings Journal, 2017 (1). pp. 1562-1566. ISSN 2515-0855

Plecas, Milana and Xu, Han and Kockar, Ivana (2017) Integration of energy storage to improve utilisation of distribution networks with active network management schemes. CIRED Open Access Proceedings Journal, 2017 (1). pp. 1845-1848. ISSN 2515-0855

Plecas, Milana and Gill, Simon and Kockar, Ivana and Anderson, Ross; (2017) Evaluation of new voltage operating strategies for integration of distributed generation into distribution networks. In: 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). IEEE, SVN. ISBN 978-1-5090-3359-1

Plecas, Milana and Gill, Simon and Kockar, Ivana; (2016) Accelerating renewable connections through coupling demand and distributed generation. In: 2016 IEEE Electrical Power and Energy Conference (EPEC). IEEE, CAN. ISBN 978-1-5090-1919-9

Plecas, Milana and Kockar, Ivana (2016) BHA PV scheme analysis. [Report]

Plecas, Milana and Gill, Simon and Kockar, Ivana and Anderson, Ross (2016) Evaluation of new voltage operating strategies for integration of distributed generation into distribution network. In: CIGRE - UK Next Generation Network Presentation Competition, 2016-04-19, University of Strathclyde.

Plecas, Milana (2015) ARC project : PV modelling & monitoring. In: The Low Carbon Networks & Innovation Conference, 2015-11-24 - 2015-11-26, The Arena and Convention Centre (ACC), Liverpool.

Plecas, Milana and Kockar, Ivana (2015) Shinnel Glen hydro scheme analysis. [Report]

Plecas, Milana and Gill, Simon and Kockar, Ivana (2015) Architectures for community energy schemes : understanding the technical and commercial challenges of linking local demand and generation. In: All Energy 2015, 2015-05-06 - 2015-05-07.

Plecas, Milana and Gill, Simon and Kockar, Ivana (2015) Background Analysis for Local Power, Local Benefit Project. [Report]

Gill, Simon and Plecas, Milana and Kockar, Ivana (2014) Distributed Generation on 11kV Voltage Constrained Feeders. [Report]

Gill, Simon and Plecas, Milana and Kockar, Ivana (2014) Coupling Demand and Distributed Generation to Accelerate Renewable Connections : Options for the Accelerating Renewable Connections Project. [Report]

Plecas, Milana and Kockar, Ivana (2013) Complexity of future power grids : applications of HPC for OPF operational tools. In: International Conference on Scientific Computing 2013, 2013-12-03 - 2013-12-06.

Plecas, Milana and Kockar, Ivana; (2011) Review of HPC applications for future power system analysis tools. In: Proceedings of 2011 46th International Universities' Power Engineering Conference (UPEC). IEEE, DEU, pp. 1-6. ISBN 9783800734023

This list was generated on Mon Aug 3 22:10:33 2020 BST.