Shahabodin Afrasiabi

According to our database, Shahabodin Afrasiabi authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-Driven Volt/VAR Optimization for Modern Distribution Networks: A Review.

Sarah Allahmoradi, Shahabodin Afrasiabi, Xiaodong Liang, Junbo Zhao, Mohammad Shahidehpour

IEEE Access, 2024

Normalizing Flows-based Probabilistic Learning-Aided Distribution System State Estimation.

Shahabodin Afrasiabi, Xiaodong Liang

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024

2023

Wide-Area Composite Load Parameter Identification Based on Multi-Residual Deep Neural Network.

Shahabodin Afrasiabi, Mousa Afrasiabi, Mohammad Amin Jarrahi, Mohammad Mohammadi, Jamshid Aghaei, Mohammad Sadegh Javadi, Miadreza Shafie-Khah, João P. S. Catalão

IEEE Trans. Neural Networks Learn. Syst., September, 2023

2022

Stochastic Optimal Sizing of Plug-in Electric Vehicle Parking Lots in Reconfigurable Power Distribution Systems.

Meysam Mohammadi-Landi, Mohammad Rastegar, Mohammad Mohammadi, Shahabodin Afrasiabi

IEEE Trans. Intell. Transp. Syst., 2022

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

Haidar Samet, Saeedeh Ketabipour, Mousa Afrasiabi, Shahabodin Afrasiabi, Mohammad Mohammadi

IEEE Trans. Ind. Informatics, 2022

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

Shahabodin Afrasiabi, Mousa Afrasiabi, Benyamin Parang, Mohammad Mohammadi, Haidar Samet, Tomislav Dragicevic

IEEE Trans. Ind. Electron., 2022

Fault Location and Faulty Line Selection in Transmission Networks: Application of Improved Gated Recurrent Unit.

Shahabodin Afrasiabi, Mousa Afrasiabi, Mohammad Amin Jarrahi, Mohammad Mohammadi

IEEE Syst. J., 2022

Power System Resiliency Studies under Renewable Energy Penetration: A Review.

Mohammad Salimi, Yuzhong Gong, Shahabodin Afrasiabi, Xiaodong Liang, Chi Yung Chung

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022

Nonparametric Maximum Likelihood Probabilistic Photovoltaic Power Generation Forecasting based on Spatial-Temporal Deep Learning.

Shahabodin Afrasiabi, Sarah Allahmoradi, Mohammad Salimi, Xiaodong Liang, C. Y. Chung

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022

Machine Learning-Based Condition Monitoring of Solar Photovoltaic Systems: A Review.

Shahabodin Afrasiabi, Sarah Allahmoradi, Mohammad Salimi, Xiaodong Liang, C. Y. Chung

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022

2021

Advanced Deep Learning Approach for Probabilistic Wind Speed Forecasting.

Mousa Afrasiabi, Mohammad Mohammadi, Mohammad Rastegar, Shahabodin Afrasiabi

IEEE Trans. Ind. Informatics, 2021

2020

Deep-Based Conditional Probability Density Function Forecasting of Residential Loads.

Mousa Afrasiabi, Mohammad Mohammadi, Mohammad Rastegar, Lina Stankovic, Shahabodin Afrasiabi, Mohammad Khazaei

IEEE Trans. Smart Grid, 2020

Integration of Accelerated Deep Neural Network Into Power Transformer Differential Protection.

Shahabodin Afrasiabi, Mousa Afrasiabi, Benyamin Parang, Mohammad Mohammadi

IEEE Trans. Ind. Informatics, 2020

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

Shahabodin Afrasiabi, Mousa Afrasiabi, Benyamin Parang, Mohammad Mohammadi

Appl. Soft Comput., 2020

2019

Power transformers internal fault diagnosis based on deep convolutional neural networks.

Mousa Afrasiabi, Shahabodin Afrasiabi, Benyamin Parang, Mohammad Mohammadi

J. Intell. Fuzzy Syst., 2019