| Key performance indicators for wind farm operation and maintenance E Gonzalez, EM Nanos, H Seyr, L Valldecabres, NY Yürüşen, U Smolka, ... Energy Procedia 137, 559-570, 2017 | 97 | 2017 |
| Data-driven learning framework for associating weather conditions and wind turbine failures M Reder, NY Yürüşen, JJ Melero Reliability Engineering & System Safety 169, 554-569, 2018 | 87 | 2018 |
| Automated wind turbine maintenance scheduling NY Yürüşen, PN Rowley, SJ Watson, JJ Melero Reliability Engineering & System Safety 200, 106965, 2020 | 25 | 2020 |
| Apriori and K-Means algorithms of machine learning for spatio-temporal solar generation balancing NY Yürüşen, B Uzunoğlu, AP Talayero, AL Estopiñán Renewable Energy 175, 702-717, 2021 | 17 | 2021 |
| Sensitivity study of a wind farm maintenance decision-a performance and revenue analysis J Tautz-Weinert, NY Yürüşen, JJ Melero, SJ Watson Renewable Energy 132, 93-105, 2019 | 17 | 2019 |
| Probability density function selection based on the characteristics of wind speed data NY Yürüşen, JJ Melero Journal of Physics: Conference Series 753 (3), 032067, 2016 | 16 | 2016 |
| Spatial clustering for temporal power ramp balance and wind power estimation N Yildirim, B Uzunoglu 2015 Seventh Annual IEEE Green Technologies Conference, 214-220, 2015 | 6 | 2015 |
| Machine Learning models for the estimation of the production of large utility-scale photovoltaic plants AP Talayero, JJ Melero, A Llombart, NY Yürüşen Solar Energy 254, 88-101, 2023 | 5 | 2023 |
| Data Mining via Association Rules for Power Ramps Detected by Clustering or Optimization N Yıldırım, B Uzunoğlu Transactions on Computational Science XXVIII, 163-176, 2016 | 5 | 2016 |
| The financial benefits of various catastrophic failure prevention strategies in a wind farm: Two market studies (UK-Spain) NY Yürüşen, J Tautz-Weinert, SJ Watson, JJ Melero Journal of Physics: Conference Series 926 (1), 012014, 2017 | 4 | 2017 |
| Association rules for clustering algorithms for data mining of temporal power ramp balance N Yildirim, B Uzunoglu 2015 International Conference on Cyberworlds (CW), 224-228, 2015 | 4 | 2015 |
| Wind Turbine Power Curve Modelling using Gaussian Mixture Copula, ANN Regressive and BANN R Lázaro, NY Yürüşen, JJ Melero Journal of Physics: Conference Series 2265 (3), 032083, 2022 | 2 | 2022 |
| Determining Remaining Lifetime of Wind Turbine Gearbox Using a Health Status Indicator Signal R Lázaro, N Y Yurusen, JJ Melero The Science of Making Torque from Wind 28 September - 2 October 2020, The …, 2020 | 1 | 2020 |
| INTERPRETER – Tool for non-technical losses detection H Bludszuweit, NY Yurusen, PL Pérez, D Martínez-López 2022 IEEE Green Energy and Smart System Systems (IGESSC), 2022 | | 2022 |
| Machine learning based met data anomaly labelling AP Talayero, NY Yürüşen, FJS Ramos, RL Gastón Journal of Physics: Conference Series 2257 (1), 012015, 2022 | | 2022 |
| Anomaly Detection in Inverter Level via Machine Learning Algorithms Under the Absence of O&M Logbooks A Talayero, N Yurusen Y, A Llombart, JJ Melero EUPVSEC 2020, 2020 | | 2020 |
| Wind Farm Management Decision Support Systems For Short Term Horizon N Yurusen Y UNIZAR, 2019 | | 2019 |
| Modeling and fitting of the wind data using different time series models and investigating the related applications of fitted data. Urla and Risø cases N Yildirim Mühendislik ve Fen Bilimleri Enstitüsü, 2014 | | 2014 |
| TIME SERIES MODELLING FOR WIND POWER PREDICTION AND CONTROL: CLUSTERING AND ASSOCIATION RULES OF DATA MINING FOR CFD AND TIME SERIES DATA OF POWER RAMPS N YILDIRIM Uppsala University, 2014 | | 2014 |
| Modelling and fitting of the wind data using different time series models and investigating the relared applications of fitted data. Urla and RisØ cases N Yıldırım İzmir Institute of Technology, 2014 | | 2014 |
