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Peyman Mazidi, PhD
Peyman Mazidi, PhD
Alumni: KTH, Comillas, TUDelft
Dirección de correo verificada de kth.se - Página principal
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A comparative analysis of decision trees, support vector machines and artificial neural networks for on-line transient stability assessment
NG Baltas, P Mazidi, P Rodriguez, J Ma, F Fernández-Navarro
International conference on Smart Energy Systems and Technologies (SEST), 2018
532018
Profit-maximization generation maintenance scheduling through bi-level programming
P Mazidi, Y Tohidi, A Ramos, MA Sanz-Bobi
European Journal of Operational Research (EJOR) 264 (3), 1045-1057, 2018
482018
A model for flexibility analysis of RESS with electric energy storage and reserve
P Mazidi, NG Baltas, M Eliassi, P Rodriguez
International Conference on Renewable Energy Research and Applications (ICRERA), 2018
462018
Wind turbine prognostics and maintenance management based on a hybrid approach of neural networks and proportional hazards model
P Mazidi, L Bertling Tjernberg, MA Sanz-Bobi
Journal of Risk and Reliability (JORR) 231 (2), 121-129, 2017
332017
Strategic maintenance scheduling in an islanded microgrid with distributed energy resources
P Mazidi, MA Sanz-Bobi
Electric Power Systems Research (EPSR) 148 (C), 171-182, 2017
282017
Strategic maintenance scheduling of an offshore wind farm in a deregulated power system
P Mazidi, Y Tohidi, MA Sanz-Bobi
Energies 10 (3), 2017
282017
A health condition model for wind turbine monitoring through neural networks and proportional hazard models
P Mazidi, M Du, L Bertling Tjernberg, MA Sanz-Bobi
Journal of Risk and Reliability (JORR) 231 (5), 481 - 494, 2017
242017
A parameter selection method for wind turbine health management through SCADA data
M Du, J Yi, P Mazidi, L Cheng, J Guo
Energies 10 (2), 2017
222017
Reliability assessment of a distributed generation connected distribution system
P Mazidi, GN Sreenivas
International Conference on Power System Operation and Energy Management, 7, 2011
212011
A performance and maintenance evaluation framework for wind turbines
P Mazidi, M Du, L Bertling Tjernberg, MA Sanz-Bobi
International Conference on Probabilistic Methods Applied to Power Systems …, 2016
192016
Neural networks for GEFCom2017 probabilistic load forecasting
I Dimoulkas, P Mazidi, L Herre
International Journal of Forecasting 35 (4), 1409-1423, 2019
182019
A novel ensemble approach for solving the transient stability classification problem
NG Baltas, C Perales, P Mazidi, F Fernández-Navarro, P Rodriguez
International Conference on Renewable Energy Research and Applications (ICRERA), 2018
182018
Reliability analysis of a radial distributed generation distribution system
P Mazidi, GN Sreenivas
International Journal of Electrical and Electronics Engineering (IJEEE) 3 (2 …, 2013
182013
Synchrophasor based monitoring system for grid interactive energy storage system control
R Torkzadeh, M Eliassi, P Mazidi, P Rodriguez, D Brnobić, ...
International Symposium on High Voltage Engineering (ISH), 2019
16*2019
Performance analysis and anomaly detection in wind turbines based on neural networks and principal component analysis
P Mazidi, L Bertling Tjernberg, MA Sanz-bobi
12th Workshop on Industrial Systems and Energy Technologies, Madrid, Spain, 2017
142017
Zero renewable incentive analysis for flexibility study of a grid
P Mazidi, GN Baltas, M Eliassi, P Rodriguez, R Pastor, M Michael, ...
International Symposium on High Voltage Engineering (ISH), 2019
132019
Enabling flexibility through wholesale market changes - A European case study
B Bowler, M Asprou, B Hartmann, P Mazidi, E Kyriakides
International Symposium on High Voltage Engineering (ISH), 2019
112019
A hybrid model based on symbolic regression and neural networks for electricity load forecasting
I Dimoulkas, P Mazidi, L Herre, D Khastieva, E Nycander, M Amelin
15th International Conference on the European Energy Market (EEM), 2018
102018
Support vector machine and neural network applications in transient stability
NG Baltas, P Mazidi, F Fernández-Navarro, P Rodriguez
International Conference on Renewable Energy Research and Applications (ICRERA), 2018
72018
From condition monitoring to maintenance management in electric power system generation with focus on wind turbines
P Mazidi
doi:10.4233/uuid:709aaa21-4479-43f6-867c-bf849dc46705, 2018
62018
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