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Open Access research that solves space system engineering problems...

Strathprints makes available scholarly Open Access content by scholars in the Department of Mechanical & Aerospace Engineering (MAE), based within the Faculty of Engineering.

Research at MAE includes research into space systems engineering and spaceflight mechanics. This spans a wide variety of topics such as nano-satellites, self-assembling spacecraft, orbital dynamics, trajectory design and optimization, autonomous navigation and planning, all under the auspices of the Aerospace Centre of Excellence - and with almost all research outputs openly available through Strathprints.

Explore the Open Access research of the Aerospace Centre of Excellence or the wider MAE department. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2019 | 2018 | 2017
Number of items: 8.

2019

Gilbert, Ciaran and Messner, Jakob W. and Pinson, Pierre and Trombe, Pierre-Julien and Verzijlbergh, Remco and van Dorp, Pim and Jonker, Harmen (2019) Statistical post-processing of turbulence-resolving weather forecasts for offshore wind power forecasting. Wind Energy. ISSN 1095-4244

Gilbert, Ciaran and Browell, Jethro and McMillan, David (2019) A data-driven vessel motion model for offshore access forecasting. In: OCEANS 2019 - Marseille. IEEE, FRA. ISBN 9781728114507

Gilbert, Ciaran and Browell, Jethro and McMillan, David (2019) Leveraging turbine-level data for improved probabilistic wind power forecasting. IEEE Transactions on Sustainable Energy. ISSN 1949-3029

Gilbert, C and Browell, J and McMillan, D (2019) Visualisation of probabilistic access forecasts for offshore operations. Journal of Physics: Conference Series, 1222 (1). 012040. ISSN 1742-6588

Würth, Ines and Valldecabres, Laura and Simon, Elliot and Möhrlen, Corinna and Uzunoğlu, Bahri and Gilbert, Ciaran and Giebel, Gregor and Schlipf, David and Kaifel, Anton (2019) Minute-scale forecasting of wind power — results from the collaborative workshop of IEA Wind task 32 and 36. Energies, 12 (4). 712. ISSN 1996-1073

2018

Gilbert, Ciaran and Browell, Jethro and McMillan, David (2018) A hierarchical approach to probabilistic wind power forecasting. In: 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, USA. ISBN 9781538635964

2017

Browell, Jethro and Gilbert, Ciaran P (2017) Cluster-based regime-switching AR for the EEM 2017 Wind Power Forecasting Competition. In: 2017 14th International Conference on the European Electricity Market Conference (EEM). IEEE, DEU. ISBN 9781509054992 (In Press)

Browell, Jethro and Gilbert, Ciaran and McMillan, David (2017) Use of turbine-level data for improved wind power forecasting. In: 12th IEEE PES PowerTech Conference. IEEE, GBR. (In Press)

This list was generated on Wed Jan 22 17:27:52 2020 GMT.