Adrian Stetco
Title
Cited by
Cited by
Year
Machine learning methods for wind turbine condition monitoring: A review
A Stetco, F Dinmohammadi, X Zhao, V Robu, D Flynn, M Barnes, J Keane, ...
Renewable energy 133, 620-635, 2019
882019
Fuzzy C-means++: fuzzy C-means with effective seeding initialization
A Stetco, XJ Zeng, J Keane
Expert Systems with Applications 42 (21), 7541-7548, 2015
622015
Fuzzy cluster analysis of financial time series and their volatility assessment
A Stetco, X Zeng, J Keane
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on …, 2013
112013
Expert Systems with Applications: An International Journal, v. 42 n. 21
A Stetco, XJ Zeng, J Keane, F C-means+
November, 2015
52015
Wind Turbine operational state prediction: towards featureless, end-to-end predictive maintenance
A Stetco, A Mohammed, S Djurović, G Nenadic, J Keane
2019 IEEE International Conference on Big Data (Big Data), 4422-4430, 2019
12019
Technology Drivers in Windfarm Asset Management
M Barnes, K Brown, J Carmona, D Cevasco, M Collu, C Crabtree, ...
Home Offshore, 2018
12018
An End-to-End, Real-Time Solution for Condition Monitoring of Wind Turbine Generators
A Stetco, JM Ramirez, A Mohammed, S Djurović, G Nenadic, J Keane
Energies 13 (18), 4817, 2020
2020
Towards a framework for incorporating data acquisition cost in predictive time series models
A Stetco, R Mosincat, G Nenadic, J Keane
The 6th Workshop on Mining and Learning from Time Series, KDD2020, San Diego, US, 2020
2020
Progress on the Development of a Holistic Coupled Model of Dynamics for Offshore Wind Farms: Phase II—Study on a Data-Driven Based Reduced-Order Model for a Single Wind Turbine
Z Lin, A Stetco, J Carmona-Sanchez, D Cevasco, M Collu, G Nenadic, ...
International Conference on Offshore Mechanics and Arctic Engineering 58899 …, 2019
2019
An investigation into fuzzy clustering quality and speed: Fuzzy C-means with effective seeding
MA Stetco
PQDT-UK & Ireland, 2017
2017
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Articles 1–10