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Open Access research that delivers better decision support and knowledge modelling

Strathprints makes available Open Access scholarly outputs by Management Science at Strathclyde. Particular research specialisms include knowledge modelling within organisations but also problem structuring and analytical approaches to better interpret risk and uncertainty. Some of these management science approaches are applied within healthcare systems and have close links with economics and operations management.

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Jump to: 2022 | 2021 | 2020 | 2019 | 2018 | 2017
Number of items: 12.

2022

Browell, Jethro and Gilbert, Ciaran (2022) Predicting electricity imbalance prices and volumes : capabilities and opportunities. Energies, 15 (10). 3645. ISSN 1996-1073

2021

Gilbert, Ciaran and Browell, Jethro and McMillan, David (2021) Probabilistic access forecasting for improved offshore operations. International Journal of Forecasting, 37 (1). pp. 134-150. ISSN 0169-2070

2020

Browell, Jethro and Gilbert, Ciaran and Tawn, Rosemary and May, Leo; (2020) Quantile combination for the EEM Wind Power Forecasting Competition. In: 2020 17th International Conference on the European Energy Market (EEM). IEEE, Piscataway, NJ.. ISBN 9781728169200

Browell, Jethro and Gilbert, Ciaran; (2020) ProbCast : Open-source production, evaluation and visualisation of probabilistic forecasts. In: 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, BEL. ISBN 9781728128221

Gilbert, Ciaran and Browell, Jethro and McMillan, David (2020) Leveraging turbine-level data for improved probabilistic wind power forecasting. IEEE Transactions on Sustainable Energy, 11 (3). pp. 1152-1160. ISSN 1949-3029

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, 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 Fri Aug 12 09:31:18 2022 BST.