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ORCIDShahabodin Afrasiabi
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2020 – today
- 2024
[j11]Sarah Allahmoradi, Shahabodin Afrasiabi
, Xiaodong Liang, Junbo Zhao, Mohammad Shahidehpour:
Data-Driven Volt/VAR Optimization for Modern Distribution Networks: A Review. IEEE Access 12: 71184-71204 (2024)- [c4]Shahabodin Afrasiabi, Xiaodong Liang:
Normalizing Flows-based Probabilistic Learning-Aided Distribution System State Estimation. CCECE 2024: 823-828 - 2023
- [j10]Shahabodin Afrasiabi, Mousa Afrasiabi, Mohammad Amin Jarrahi, Mohammad Mohammadi, Jamshid Aghaei, Mohammad Sadegh Javadi, Miadreza Shafie-Khah, João P. S. Catalão:
Wide-Area Composite Load Parameter Identification Based on Multi-Residual Deep Neural Network. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6121-6131 (2023) - 2022
- [j9]Shahabodin Afrasiabi, Mousa Afrasiabi, Mohammad Amin Jarrahi, Mohammad Mohammadi:
Fault Location and Faulty Line Selection in Transmission Networks: Application of Improved Gated Recurrent Unit. IEEE Syst. J. 16(3): 5056-5066 (2022) - [j8]Shahabodin Afrasiabi, Mousa Afrasiabi, Benyamin Parang, Mohammad Mohammadi, Haidar Samet, Tomislav Dragicevic:
Fast GRNN-Based Method for Distinguishing Inrush Currents in Power Transformers. IEEE Trans. Ind. Electron. 69(8): 8501-8512 (2022) - [j7]Haidar Samet, Saeedeh Ketabipour, Mousa Afrasiabi, Shahabodin Afrasiabi, Mohammad Mohammadi:
Deep Learning Forecaster-Based Controller for SVC: Wind Farm Flicker Mitigation. IEEE Trans. Ind. Informatics 18(10): 7030-7037 (2022) - [j6]Meysam Mohammadi-Landi, Mohammad Rastegar, Mohammad Mohammadi, Shahabodin Afrasiabi:
Stochastic Optimal Sizing of Plug-in Electric Vehicle Parking Lots in Reconfigurable Power Distribution Systems. IEEE Trans. Intell. Transp. Syst. 23(10): 17003-17014 (2022) - [c3]Shahabodin Afrasiabi, Sarah Allahmoradi, Mohammad Salimi, Xiaodong Liang, C. Y. Chung:
Machine Learning-Based Condition Monitoring of Solar Photovoltaic Systems: A Review. CCECE 2022: 49-54 - [c2]Shahabodin Afrasiabi, Sarah Allahmoradi, Mohammad Salimi, Xiaodong Liang, C. Y. Chung:
Nonparametric Maximum Likelihood Probabilistic Photovoltaic Power Generation Forecasting based on Spatial-Temporal Deep Learning. CCECE 2022: 72-77 - [c1]Mohammad Salimi, Yuzhong Gong, Shahabodin Afrasiabi, Xiaodong Liang, Chi Yung Chung:
Power System Resiliency Studies under Renewable Energy Penetration: A Review. CCECE 2022: 429-434 - 2021
- [j5]Mousa Afrasiabi, Mohammad Mohammadi, Mohammad Rastegar, Shahabodin Afrasiabi:
Advanced Deep Learning Approach for Probabilistic Wind Speed Forecasting. IEEE Trans. Ind. Informatics 17(1): 720-727 (2021) - 2020
- [j4]Shahabodin Afrasiabi, Mousa Afrasiabi, Benyamin Parang, Mohammad Mohammadi:
Designing a composite deep learning based differential protection scheme of power transformers. Appl. Soft Comput. 87: 105975 (2020) - [j3]Shahabodin Afrasiabi, Mousa Afrasiabi, Benyamin Parang, Mohammad Mohammadi:
Integration of Accelerated Deep Neural Network Into Power Transformer Differential Protection. IEEE Trans. Ind. Informatics 16(2): 865-876 (2020) - [j2]Mousa Afrasiabi, Mohammad Mohammadi, Mohammad Rastegar, Lina Stankovic, Shahabodin Afrasiabi, Mohammad Khazaei:
Deep-Based Conditional Probability Density Function Forecasting of Residential Loads. IEEE Trans. Smart Grid 11(4): 3646-3657 (2020)
2010 – 2019
- 2019
- [j1]Mousa Afrasiabi, Shahabodin Afrasiabi, Benyamin Parang, Mohammad Mohammadi:
Power transformers internal fault diagnosis based on deep convolutional neural networks. J. Intell. Fuzzy Syst. 37(1): 1165-1179 (2019)
Coauthor Index
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