Hamid Mirshekali
Hamid Mirshekali
Ph.d. student, Center for Energy Informatics, University of Southern
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Zitiert von
Zitiert von
A survey of fault prediction and location methods in electrical energy distribution networks
R Dashti, M Daisy, H Mirshekali, HR Shaker, MH Aliabadi
Measurement 184, 109947, 2021
A novel fault location methodology for smart distribution networks
H Mirshekali, R Dashti, A Keshavarz, AJ Torabi, HR Shaker
IEEE Transactions on smart grid 12 (2), 1277-1288, 2020
Linear and nonlinear fault location in smart distribution network under line parameter uncertainty
H Mirshekali, R Dashti, HR Shaker, R Samsami, AJ Torabi
IEEE Transactions on Industrial Informatics 17 (12), 8308-8318, 2021
Machine learning-based fault location for smart distribution networks equipped with micro-PMU
H Mirshekali, R Dashti, A Keshavarz, HR Shaker
Sensors 22 (3), 945, 2022
Real fault location in a distribution network using smart feeder meter data
H Mirshekali, R Dashti, K Handrup, HR Shaker
Energies 14 (11), 3242, 2021
Deep learning-based fault location framework in power distribution grids employing convolutional neural network based on capsule network
H Mirshekali, A Keshavarz, R Dashti, S Hafezi, HR Shaker
Electric Power Systems Research 223, 109529, 2023
Composite nonlinear feedback control of a DC-DC boost converter under input voltage and load variation
A Vazani, H Mirshekali, N Mijatovic, V Ghaffari, R Dashti, HR Shaker, ...
International Journal of Electrical Power & Energy Systems 155, 109562, 2024
A parameter-free approach for fault section detection on distribution networks employing gated recurrent unit
MR Shadi, H Mirshekali, R Dashti, MT Ameli, HR Shaker
Energies 14 (19), 6361, 2021
An accurate fault location algorithm for smart electrical distribution systems equipped with micro phasor mesaurement units
H Mirshekali, R Dashti, HR Shaker
2019 International Symposium on Advanced Electrical and Communication …, 2019
A survey of time-series prediction for digitally enabled maintenance of electrical grids
H Mirshekali, AQ Santos, HR Shaker
Energies 16 (17), 6332, 2023
A new model predictive control based method for control of grid connected inverter using predictive functional control
H Mirshekali, R Dashti, HR Shaker, R Samsami
2020 IEEE 8th International Conference on Smart Energy Grid Engineering …, 2020
A novel fault location algorithm for electrical networks considering distributed line model and distributed generation resources
H Mirshekali, R Dashti, HR Shaker
2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 16-20, 2020
Reliability-aware multi-objective approach for predictive asset management: A Danish distribution grid case study
H Mirshekali, LK Mortensen, HR Shaker
Applied Energy 358, 122556, 2024
Reinforcement Learning-Based Prediction of Alarm Significance in Marginally Operating Electrical Grids
H Mirshekali, HR Shaker
IEEE Transactions on Industrial Informatics, 2024
Machine Learning-Based Control Framework For Boost Converters Applying Particle Swarm Optimization
MH Rezaei, H Mirshekali, R Dashti, R Samsami, R Panahidoost, ...
2022 International Conference on Electrical, Computer, Communications and …, 2022
Optimized Artificial Neural Network-Based Control Strategy For Boost Converters
R Panahidoost, H Mirshekali, R Dashti, R Samsami, MH Rezaei, ...
2022 International Conference on Electrical, Computer, Communications and …, 2022
Transient Analysis of Tidal Power Plant Connected to Network When Faced with Symmetrical and Unsymmetrical Faults
R Dashti, GR Ghanbari, HR Shaker, H Mirshekali
2020 7th International Conference on Electrical and Electronics Engineering …, 2020
A novel RMPC strategy for three-phase inverters operating in grid-connected and standalone modes
H Mirshekali, R Dashti, V Ghaffari, HR Shaker, MM Mardani, N Mijatovic, ...
Electric Power Systems Research 234, 110763, 2024
Critical Events Forecasting in Power Grids Operating Close to Margin
H Mirshekali, HR Shaker, AQ Santos
2023 7th International Conference on System Reliability and Safety (ICSRS …, 2023
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