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Azam Bagheri
Azam Bagheri
Data scientist, Volvo AB
Verified email at volvo.com
Title
Cited by
Cited by
Year
Detection of grid voltage fundamental and harmonic components using Kalman filter and generalized averaging method
A Bagheri, M Mardaneh, A Rajaei, A Rahideh
IEEE Transactions on Power Electronics 31 (2), 1064-1073, 2015
1032015
A robust transform-domain deep convolutional network for voltage dip classification
A Bagheri, IYH Gu, MHJ Bollen, E Balouji
IEEE Transactions on Power Delivery 33 (6), 2794-2802, 2018
972018
A LSTM-based deep learning method with application to voltage dip classification
E Balouji, IYH Gu, MHJ Bollen, A Bagheri, M Nazari
2018 18th international conference on harmonics and quality of power (ICHQP …, 2018
902018
Single-event characteristics for voltage dips in three-phase systems
Y Wang, A Bagheri, MHJ Bollen, XY Xiao
IEEE Transactions on Power Delivery 32 (2), 832-840, 2016
502016
Improved characterization of multi-stage voltage dips based on the space phasor model
A Bagheri, MHJ Bollen, IYH Gu
Electric Power Systems Research 154, 319-328, 2018
492018
Active harmonic filters: Control techniques review
D Schwanz, A Bagheri, M Bollen, A Larsson
2016 17th International Conference on Harmonics and Quality of power (ICHQP …, 2016
402016
Improving the Decoupled Double SRF PLL for grid connected power converters
A Nouralinejad, A Bagheri, M Mardaneh, M Malekpour
The 5th Annual International Power Electronics, Drive Systems and …, 2014
242014
A quantitative comparison approach for different voltage dip characterization methods
Y Wang, MHJ Bollen, A Bagheri, XY Xiao, M Olofsson
Electric Power Systems Research 133, 182-190, 2016
212016
Space phasor model based monitoring of voltages in three phase systems
A Bagheri, MJH Bollen
2018 18th International Conference on Harmonics and Quality of Power (ICHQP …, 2018
122018
A novel model for emotion detection from facial muscles activity
E Bagheri, A Bagheri, PG Esteban, B Vanderborgth
Robot 2019: Fourth Iberian Robotics Conference: Advances in Robotics, Volume …, 2020
112020
Developments in voltage dip research and its applications, 2005–2015
A Bagheri, M Bollen
2016 17th International Conference on Harmonics and Quality of Power (ICHQP …, 2016
112016
Characterizing three-phase unbalanced dips through the ellipse parameters of the space phasor model
A Bagheri, MHJ Bollen
2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2017
62017
A novel application of flywheel system to enhance fault-ride-through of the microgrids
M Ghasemi, A Bagheri, M Bongiorno, JR Svensson
NEIS 2019; Conference on Sustainable Energy Supply and Energy Storage …, 2019
52019
The novel method for voltage transient detection and characterization
A Bagheri, MHJ Bollen
2019 IEEE Milan PowerTech, 1-6, 2019
52019
A framework based on machine learning for analytics of voltage quality disturbances
A Bagheri, RA de Oliveira, MHJ Bollen, IYH Gu
Energies 15 (4), 1283, 2022
42022
Optimal energy management of isolated micro-grid including solar and diesel power with pumped storage
MA Bidgoli, A Bagheri, M Barzegari, S Ouni
2019 Smart grid conference (SGC), 1-6, 2019
42019
Generative adversarial model-guided deep active learning for voltage dip labelling
A Bagheri, IYH Gu, MHJ Bollen
2019 IEEE Milan PowerTech, 1-5, 2019
42019
Artificial Intelligence-Based Characterization and Classification Methods for Power Quality Data Analytics
A Bagheri
Luleå University of Technology, 2018
42018
Estimation of frequency-dependent impedances in power grids by deep LSTM autoencoder and random forest
A Bagheri, M Bongiorno, IYH Gu, JR Svensson
Energies 14 (13), 3829, 2021
32021
Susceptibility of LED street lamps to voltage dips
S Sakar, A Bagheri, S Rönnberg, MHJ Bollen
Lighting Research & Technology 52 (8), 1040-1056, 2020
32020
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Articles 1–20