Mousa Afrasiabi

Detection and Classification of Multiple Power Quality Disturbances based on Temporal Deep Learning

Mohammad Mohammadi, Mousa Afrasiabi, Shahabodin Afrasiabi, 2019, 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

Probabilistic deep neural network price forecasting based on residential load and wind speed predictions

Amin Kargarian, Mohammad Mohammadi, Mohammad Rastegar, 2019, IET Renewable Power Generation.

Designing a composite deep learning based differential protection scheme of power transformers

Mohammad Mohammadi, Mousa Afrasiabi, Shahabodin Afrasiabi, 2020, Appl. Soft Comput..

Deep learning architecture for direct probability density prediction of small‐scale solar generation

Mohammad Rastegar, Mousa Afrasiabi, Shahabodin Afrasiabi, 2020, IET Generation, Transmission & Distribution.

Real-Time Bearing Fault Diagnosis of Induction Motors with Accelerated Deep Learning Approach

Mohammad Mohammadi, Mousa Afrasiabi, Shahabodin Afrasiabi, 2019, 2019 10th International Power Electronics, Drive Systems and Technologies Conference (PEDSTC).

Stochastic distributed microgrid energy management based on over-relaxed alternative direction method of multipliers

Mohammad Mohammadi, Mohammad Rastegar, Mousa Afrasiabi, 2020 .

Wind Turbine Fault Diagnosis with Generative-Temporal Convolutional Neural Network

Mohammad Mehdi Arefi, Mohammad Rastegar, Mohammad Mohammadi, 2019, 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

Deep Learning Forecaster-Based Controller for SVC: Wind Farm Flicker Mitigation

Mohammad Reza Mohammadi, Haidar Samet, Mousa Afrasiabi, 2022, IEEE Transactions on Industrial Informatics.

Multi-agent microgrid energy management based on deep learning forecaster

Amin Kargarian, Mohammad Rastegar, Mousa Afrasiabi, 2019, Energy.

Power transformers internal fault diagnosis based on deep convolutional neural networks

Mohammad Mohammadi, Mousa Afrasiabi, Shahabodin Afrasiabi, 2019, J. Intell. Fuzzy Syst..

Advanced Deep Learning Approach for Probabilistic Wind Speed Forecasting

Mohammad Rastegar, Mohammad Mohammadi, Mousa Afrasiabi, 2021, IEEE Transactions on Industrial Informatics.

Integration of Accelerated Deep Neural Network Into Power Transformer Differential Protection

Mousa Afrasiabi, Shahabodin Afrasiabi, Benyamin Parang, 2020, IEEE Transactions on Industrial Informatics.

Ensemble Kalman Filter based Dynamic State Estimation of PMSG-based Wind Turbine

Mohammad Mohammadi, Mohammad Rastegar, Farzad Ferdowsi, 2019, 2019 IEEE Texas Power and Energy Conference (TPEC).

Deep-Based Conditional Probability Density Function Forecasting of Residential Loads

Mohammad Rastegar, Lina Stankovic, Mousa Afrasiabi, 2020, IEEE Transactions on Smart Grid.

Modulated Gabor filter based deep convolutional network for electrical motor bearing fault classification and diagnosis

Mousa Afrasiabi, Shahabodin Afrasiabi, Benyamin Parang, 2021, IET Science, Measurement & Technology.

Fast GRNN-Based Method for Distinguishing Inrush Currents in Power Transformers

Tomislav Dragicevic, Haidar Samet, Mousa Afrasiabi, 2021, IEEE Transactions on Industrial Electronics.