Shady S. Refaat

Orcid: 0000-0001-9392-6141

According to our database1, Shady S. Refaat authored at least 57 papers between 2014 and 2025.

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

Timeline

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Bibliography

2025
Attention-Enhanced AGRU Framework for Induction Motor Incipient Fault Diagnosis in Electric Vehicles.
IEEE Trans. Instrum. Meas., 2025

2024
Ultrawideband Vivaldi Antenna With an Integrated Noise-Rejecting Parasitic Notch Filter for Online Partial Discharge Detection.
IEEE Trans. Instrum. Meas., 2024

Optimization Techniques for Directional Overcurrent Relay Coordination: A Comprehensive Review.
IEEE Access, 2024

Optimal Torque Allocation for All-Wheel-Drive Electric Vehicles Using a Reinforcement Learning Algorithm.
Proceedings of the 13th Mediterranean Conference on Embedded Computing, 2024

Adaptive Neuro-Fuzzy Based Incipient Fault Detection and Diagnosis for Three Phase Induction Motor.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

2023
Experimental Validation of a Mitigation Method of Ferranti Effect in Transmission Line.
IEEE Access, 2023

Cyber-Physical GNN-Based Intrusion Detection in Smart Power Grids.
Proceedings of the IEEE International Conference on Communications, 2023

Injection Attacks and Detection Strategy in Front-End Vehicle-to-Grid Communication.
Proceedings of the IEEE International Conference on Communications, 2023

Secure and Privacy-Preserving Networking Strategy for Dynamic Wireless Charging of EVs.
Proceedings of the IEEE International Conference on Communications, 2023

Static Eccentricity Fault Analysis in Three-Phase Induction Motors Using Current Signal.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

2022
Cascading Failure Vulnerability Analysis in Interdependent Power Communication Networks.
IEEE Syst. J., 2022

Characteristic Study of Solar Photovoltaic Array Under Different Partial Shading Conditions.
IEEE Access, 2022

Classification of Mechanical Faults in Rotating Machines Using SMOTE Method and Deep Neural Networks.
Proceedings of the IECON 2022, 2022

2021
Characterization of Defects Inside the Cable Dielectric With Partial Discharge Modeling.
IEEE Trans. Instrum. Meas., 2021

PD Signal Attenuation in 550-kV GIS: Impact of Different Barriers on the Propagation of Electromagnetic Waves.
IEEE Trans. Instrum. Meas., 2021

A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System.
IEEE Access, 2021

Big Data Management in Smart Grids: Technologies and Challenges.
IEEE Access, 2021

Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark.
IEEE Access, 2021

Smart Grid Big Data Analytics: Survey of Technologies, Techniques, and Applications.
IEEE Access, 2021

Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition.
IEEE Access, 2021

Household-Level Energy Forecasting in Smart Buildings Using a Novel Hybrid Deep Learning Model.
IEEE Access, 2021

Enhancement of Frequency Control for Stand-Alone Multi-Microgrids.
IEEE Access, 2021

An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting.
IEEE Access, 2021

Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review.
IEEE Access, 2021

Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method.
IEEE Access, 2021

Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects.
IEEE Access, 2021

Overview and Partial Discharge Analysis of Power Transformers: A Literature Review.
IEEE Access, 2021

On the Impact of Control Center Allocation on Power-Communication Network Vulnerability.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021

Investigation on Optimizing Cost Function to Penalize Underestimation of Load Demand through Deep Learning Modeling.
Proceedings of the IECON 2021, 2021

A Computational Model for Aging Dependability in Polymeric Cable Insulation.
Proceedings of the IECON 2021, 2021

2020
Ensemble-Based Spam Detection in Smart Home IoT Devices Time Series Data Using Machine Learning Techniques.
Inf., 2020

Privacy Preservation of Data-Driven Models in Smart Grids Using Homomorphic Encryption.
Inf., 2020

Dielectric Performance of Magneto-Nanofluids for Advancing Oil-Immersed Power Transformer.
IEEE Access, 2020

Interval-Valued Features Based Machine Learning Technique for Fault Detection and Diagnosis of Uncertain HVAC Systems.
IEEE Access, 2020

An Effective Super-Twisting Control of a Standalone PUC5 Inverter.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Short-Term Electric Load Forecasting Based on Data-Driven Deep Learning Techniques.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

A Robust Second-Order Sliding Mode Control of Sensorless Five Level Packed U Cell Inverter.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Real-Time Digital Simulation for Sensorless Control Scheme based on Reduced-Order Sliding Mode Observer for Dual Star Induction Motor.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Selective Harmonic Elimination PWM For a Cascaded Multi-level Inverter.
Proceedings of the 2020 IEEE International Conference on Industrial Technology, 2020

Stochastic Geometry Model for Interdependent Cyber-Physical Communication-Power Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Performance Evaluation of Tree-based Models for Big Data Load Forecasting using Randomized Hyperparameter Tuning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Detection of Energy Theft in Smart Grids using Electricity Consumption Patterns.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Enhanced Evolutionary Symbolic Regression Via Genetic Programming for PV Power Forecasting.
CoRR, 2019

A Novel Approach Based Deep RNN Using Hybrid NARX-LSTM Model For Solar Power Forecasting.
CoRR, 2019

PV Power Forecasting Using Weighted Features for Enhanced Ensemble Method.
CoRR, 2019

On the Electromagnetic Wave Behavior Due to Partial Discharge in Gas Insulated Switchgears: State-of-Art Review.
IEEE Access, 2019

Enhanced Machine Learning Approaches for Diagnosing Building Systems.
Proceedings of the International Conference on Internet of Things, 2019

Faulted Line Identification and Localization in Power System using Machine Learning Techniques.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Averaging Ensembles Model for Forecasting of Short-term Load in Smart Grids.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Model predictive control of packed U cells based transformerless single-phase dynamic voltage restorer.
Proceedings of the IEEE International Conference on Industrial Technology, 2018

Reliability evaluation of smart grid system with large penetration of distributed energy resources.
Proceedings of the IEEE International Conference on Industrial Technology, 2018

2017
Transient stability impact of large-scale photovoltaic system on electric power grids.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

Investigation into the effect of unbalanced supply voltage on detection of stator winding turn fault in PMSM.
Proceedings of the IEEE International Conference on Industrial Technology, 2017

Big data impact on stability and reliability improvement of smart grid.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Big data, better energy management and control decisions for distribution systems in smart grid.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
ANN-based diagnosis of incipient stator winding turn faults for three-phase induction motors in the presence of unbalanced supply voltage.
Proceedings of the IECON 2015, 2015

2014
Open and closed-loop motor control system with incipient broken rotor bar fault detection using current signature.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014


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