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Razmi, Peyman
27  results:
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1

Data-Driven Intermittent Earth Fault Detection in Compensat..:

, In: 2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE),
Razmi, Peyman ; Pashaei, Meysam ; Karimi, Mazaher.. - p. 1-6 , 2024
Link: https://doi.org/10.1109/..
 
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2

Analyzing the Performance of AC Microgrids in Stand-Alone O..:

, In: 2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE),
Ullah, Qudrat ; Razmi, Peyman ; Costa Resende, Enio. - p. 1-6 , 2024
Link: https://doi.org/10.1109/..
 
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3

Neuromorphic deep learning frequency regulation in stand-al..:

Yildirim, Burak ; Razmi, Peyman ; Fathollahi, Arman..
Applied Soft Computing.  144 (2023)  - p. 110418 , 2023
Link: https://doi.org/10.1016/..
 
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4

Machine Learning-Based Sizing of a Renewable-Battery System..:

Khezri, Rahmat ; Razmi, Peyman ; Mahmoudi, Amin..
IEEE Transactions on Sustainable Energy.  14 (2023)  2 - p. 837-848 , 2023
Link: https://doi.org/10.1109/..
 
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5

Adaptive fuzzy gain scheduling PID controller for frequency..:

Razmi, Peyman ; Rahimi, Tohid ; Sabahi, Kamel..
IET Renewable Power Generation.  , 2022
Link: https://doi.org/10.1049/..
 
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6

Machine Learning Approaches in a Real Power System and Powe..:

, In: Application of Machine Learning and Deep Learning Methods to Power System Problems; Power Systems,
Razmi, Peyman ; Ghaemi Asl, Mahdi - p. 357-378 , 2021
Link: https://doi.org/10.1007/..
 
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7

Topology identification in distribution system via machine ..:

Razmi, Peyman ; Ghaemi Asl, Mahdi ; Canarella, Giorgio..
PLOS ONE.  16 (2021)  6 - p. e0252436 , 2021
Link: https://doi.org/10.1371/..
 
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8

A Machine Learning Approach for Collusion Detection in Elec..:

Peyman Razmi ; Majid Oloomi Buygi ; Mohammad Esmalifalak
https://ieeexplore.ieee.org/document/9106879/.  , 2021
Link: https://doi.org/10.35833..
 
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9

Topology identification in distribution system via machine ..:

Peyman Razmi ; Mahdi Ghaemi Asl ; Giorgio Canarella.
https://doi.org/10.1371/journal.pone.0252436.  , 2021
Link: https://doi.org/10.1371/..
 
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10

Voltage profile related to switching Sub3-S3:

Peyman Razmi (10905814) ; Mahdi Ghaemi Asl (10905817) ; Giorgio Canarella (10905820).
https://figshare.com/articles/figure/Voltage_profile_related_to_switching_Sub3-S3_/14711818.  , 2021
Link: https://doi.org/10.1371/..
 
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11

Machine Learning (ML) process:

Peyman Razmi (10905814) ; Mahdi Ghaemi Asl (10905817) ; Giorgio Canarella (10905820).
https://figshare.com/articles/figure/Machine_Learning_ML_process_/14711824.  , 2021
Link: https://doi.org/10.1371/..
 
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12

Error classification for KNN random subspace method:

Peyman Razmi (10905814) ; Mahdi Ghaemi Asl (10905817) ; Giorgio Canarella (10905820).
https://figshare.com/articles/figure/Error_classification_for_KNN_random_subspace_method_/14711839.  , 2021
Link: https://doi.org/10.1371/..
 
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13

An ANSI case study:

Peyman Razmi (10905814) ; Mahdi Ghaemi Asl (10905817) ; Giorgio Canarella (10905820).
https://figshare.com/articles/figure/An_ANSI_case_study_/14711806.  , 2021
Link: https://doi.org/10.1371/..
 
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14

Percentage error of alternative Ensemble algorithms:

Peyman Razmi (10905814) ; Mahdi Ghaemi Asl (10905817) ; Giorgio Canarella (10905820).
https://figshare.com/articles/dataset/Percentage_error_of_alternative_Ensemble_algorithms_/14711848.  , 2021
Link: https://doi.org/10.1371/..
 
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15

Voltage profile for switching the electric vehicle:

Peyman Razmi (10905814) ; Mahdi Ghaemi Asl (10905817) ; Giorgio Canarella (10905820).
https://figshare.com/articles/figure/Voltage_profile_for_switching_the_electric_vehicle_/14711836.  , 2021
Link: https://doi.org/10.1371/..
 
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