Mousa Afrasiabi

Orcid: 0000-0001-5251-6437

According to our database1, Mousa Afrasiabi authored at least 10 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Wide-Area Composite Load Parameter Identification Based on Multi-Residual Deep Neural Network.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

2022
Deep Learning Forecaster-Based Controller for SVC: Wind Farm Flicker Mitigation.
IEEE Trans. Ind. Informatics, 2022

Fast GRNN-Based Method for Distinguishing Inrush Currents in Power Transformers.
IEEE Trans. Ind. Electron., 2022

Fault Location and Faulty Line Selection in Transmission Networks: Application of Improved Gated Recurrent Unit.
IEEE Syst. J., 2022

Toward Robust Decentralized Linear AC Operation of Cooperative Transmission and Distribution Networks.
IEEE Access, 2022

2021
Advanced Deep Learning Approach for Probabilistic Wind Speed Forecasting.
IEEE Trans. Ind. Informatics, 2021

2020
Deep-Based Conditional Probability Density Function Forecasting of Residential Loads.
IEEE Trans. Smart Grid, 2020

Integration of Accelerated Deep Neural Network Into Power Transformer Differential Protection.
IEEE Trans. Ind. Informatics, 2020

Designing a composite deep learning based differential protection scheme of power transformers.
Appl. Soft Comput., 2020

2019
Power transformers internal fault diagnosis based on deep convolutional neural networks.
J. Intell. Fuzzy Syst., 2019


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