Rory Morrison
Research title: Machine Learning for Offshore Wind Turbine Operations and Maintenance
The University of Glasgow uses cookies for analytics. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Clarity helps us to understand our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
Research title: Machine Learning for Offshore Wind Turbine Operations and Maintenance
Li, T., Liu, X. , Lin, Z. and Morrison, R. (2022) Ensemble offshore Wind Turbine Power Curve modelling – an integration of Isolation Forest, fast Radial Basis Function Neural Network, and metaheuristic algorithm. Energy, 239(Part D), 122340. (doi: 10.1016/j.energy.2021.122340)
Morrison, R., Liu, X. and Lin, Z. (2022) Anomaly detection in wind turbine SCADA data for power curve cleaning. Renewable Energy, 184, pp. 473-486. (doi: 10.1016/j.renene.2021.11.118)
Li, T., Liu, X. , Lin, Z. and Morrison, R. (2022) Ensemble offshore Wind Turbine Power Curve modelling – an integration of Isolation Forest, fast Radial Basis Function Neural Network, and metaheuristic algorithm. Energy, 239(Part D), 122340. (doi: 10.1016/j.energy.2021.122340)
Morrison, R., Liu, X. and Lin, Z. (2022) Anomaly detection in wind turbine SCADA data for power curve cleaning. Renewable Energy, 184, pp. 473-486. (doi: 10.1016/j.renene.2021.11.118)