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Adrian Stetco
Adrian Stetco
JPMorgan Chase & Co.
Verificeret mail på jpmchase.com - Startside
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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
8412019
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
1322015
Technology drivers in windfarm asset management
M Barnes, K Brown, J Carmona, D Cevasco, M Collu, C Crabtree, ...
Home Offshore, 2018
242018
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
222013
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
122019
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
22020
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
12019
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
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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Artikler 1–9