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Mousa Afrasiabi
Mousa Afrasiabi
Postdoctoral Researcher, Lappeenranta University of Technology
Verified email at lut.fi - Homepage
Title
Cited by
Cited by
Year
Deep-based conditional probability density function forecasting of residential loads
M Afrasiabi, M Mohammadi, M Rastegar, L Stankovic, S Afrasiabi, ...
IEEE Transactions on Smart Grid 11 (4), 3646-3657, 2020
1132020
Multi-agent microgrid energy management based on deep learning forecaster
M Afrasiabi, M Mohammadi, M Rastegar, A Kargarian
Energy 186, 115873, 2019
1092019
Integration of accelerated deep neural network into power transformer differential protection
S Afrasiabi, M Afrasiabi, B Parang, M Mohammadi
IEEE Transactions on Industrial Informatics 16 (2), 865-876, 2019
982019
Advanced deep learning approach for probabilistic wind speed forecasting
M Afrasiabi, M Mohammadi, M Rastegar, S Afrasiabi
IEEE Transactions on Industrial Informatics 17 (1), 720-727, 2020
822020
Designing a composite deep learning based differential protection scheme of power transformers
S Afrasiabi, M Afrasiabi, B Parang, M Mohammadi
Applied Soft Computing 87, 105975, 2020
532020
Probabilistic deep neural network price forecasting based on residential load and wind speed predictions
M Afrasiabi, M Mohammadi, M Rastegar, A Kargarian
IET Renewable Power Generation 13 (11), 1840-1848, 2019
392019
Real-time bearing fault diagnosis of induction motors with accelerated deep learning approach
S Afrasiabi, M Afrasiabi, B Parang, M Mohammadi
2019 10th international power electronics, drive systems and technologies …, 2019
352019
Power transformers internal fault diagnosis based on deep convolutional neural networks
M Afrasiabi, S Afrasiabi, B Parang, M Mohammadi
Journal of Intelligent & Fuzzy Systems 37 (1), 1165-1179, 2019
322019
Deep learning architecture for direct probability density prediction of small‐scale solar generation
M Afrasiabi, M Mohammadi, M Rastegar, S Afrasiabi
IET Generation, Transmission & Distribution 14 (11), 2017-2025, 2020
272020
Deep learning forecaster-based controller for SVC: Wind farm flicker mitigation
H Samet, S Ketabipour, M Afrasiabi, S Afrasiabi, M Mohammadi
IEEE Transactions on Industrial Informatics 18 (10), 7030-7037, 2020
232020
Detection and Classification of Multiple Power Quality Disturbances based on Temporal Deep Learning
M Mohammadi, M Afrasiabi, S Afrasiabi, B Parang
2019 IEEE International Conference on Environment and Electrical Engineering …, 2019
232019
Wind turbine fault diagnosis with generative-temporal convolutional neural network
S Afrasiabi, M Afrasiabi, B Parang, M Mohammadi, MM Arefi, M Rastegar
2019 IEEE International Conference on Environment and Electrical Engineering …, 2019
222019
Fault localisation and diagnosis in transmission networks based on robust deep Gabor convolutional neural network and PMU measurements
S Afrasiabi, M Afrasiabi, M Mohammadi, B Parang
IET Generation, Transmission & Distribution 14 (26), 6484-6492, 2020
202020
Fast GRNN-based method for distinguishing inrush currents in power transformers
S Afrasiabi, M Afrasiabi, B Parang, M Mohammadi, H Samet, T Dragicevic
IEEE Transactions on Industrial Electronics 69 (8), 8501-8512, 2021
192021
Prediction of wind farm reactive power fast variations by adaptive one-dimensional convolutional neural network
H Samet, S Ketabipour, S Afrasiabi, M Afrasiabi, M Mohammadi
Computers & Electrical Engineering 96, 107480, 2021
182021
Modulated Gabor filter based deep convolutional network for electrical motor bearing fault classification and diagnosis
S Afrasiabi, M Mohammadi, M Afrasiabi, B Parang
IET science, measurement & technology 15 (2), 154-162, 2021
182021
Ensemble kalman filter based dynamic state estimation of PMSG-based wind turbine
S Afrasiabi, M Afrasiabi, M Rastegar, M Mohammadi, B Parang, ...
2019 IEEE Texas Power and Energy Conference (TPEC), 1-4, 2019
172019
Probability density function forecasting of residential electric vehicles charging profile
AJ Jahromi, M Mohammadi, S Afrasiabi, M Afrasiabi, J Aghaei
Applied Energy 323, 119616, 2022
162022
Two-stage deep learning-based wind turbine condition monitoring using SCADA data
S Afrasiabi, M Afrasiabi, B Parang, M Mohammadi, S Kahourzade, ...
2020 IEEE International Conference on Power Electronics, Drives and Energy …, 2020
152020
Wide-area composite load parameter identification based on multi-residual deep neural network
S Afrasiabi, M Afrasiabi, MA Jarrahi, M Mohammadi, J Aghaei, MS Javadi, ...
IEEE Transactions on Neural Networks and Learning Systems 34 (9), 6121-6131, 2021
112021
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