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S.Majid Esmailifar

Amirkabir University of Technology

P.O. Box 15875-4413

Tehran

Iran

SCHOLARLY PAPERS

4

DOWNLOADS

204

TOTAL CITATIONS

2

Scholarly Papers (4)

1.

Automatic Detection of Visual Faults on Photovoltaic Module Using Deep Ensemble Learning Network

Number of pages: 28 Posted: 23 Jun 2022
Vellore Institute of Technology (VIT), affiliation not provided to SSRN, Concordia University, Amirkabir University of Technology, Norwegian University of Science and Technology (NTNU) and Vellore Institute of Technology (VIT)
Downloads 72
Citation 2

Abstract:

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Photovoltaic modules, Autonomous fault detection, Deep neural network, ensemble learning, Random forest, Unmanned aerial vehicle

Fault-Tolerant Effective Wind Speed Estimation in Wind Farms via EKF and Deep Learning Fusion

Number of pages: 30 Posted: 01 Oct 2025
Seyyede Marzieh Mousavi, S.Majid Esmailifar and horst schulte
Amirkabir University of Technology, Amirkabir University of Technology and affiliation not provided to SSRN
Downloads 39

Abstract:

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Effective Wind Speed, Wind Farm, Kalman Filter, Wind Wake Model, Deep Learning

Fault-Tolerant Effective Wind Speed Estimation in Wind Farms via EKF and Deep Learning Fusion

Number of pages: 30 Posted: 14 Oct 2025
Seyyede Marzieh Mousavi, S.Majid Esmailifar and horst schulte
Amirkabir University of Technology, Amirkabir University of Technology and affiliation not provided to SSRN
Downloads 14

Abstract:

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Effective Wind Speed, Wind Farm, Kalman Filter, Wind Wake Model, Deep learning

3.

Co-Robopv: Cooperative Aerial Robot System for Photovoltaic Power Plant Inspection Based on Reinforcement Learning

Number of pages: 20 Posted: 06 Aug 2025
Amirkabir University of Technology, Amirkabir University of Technology, University of Isfahan, Concordia University and Norwegian University of Science and Technology (NTNU)
Downloads 43

Abstract:

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Photovoltaics, Deep Reinforcement Learning (DRL), Multiple Aerial Robots, Coverage Path Planning (CPP)

4.

Autopv: An Autonomous Aerial Robotic System Framework for Diverse Thermal Anomaly Detection in Pv Power Plants

Number of pages: 41 Posted: 01 Aug 2025
Amirkabir University of Technology, Amirkabir University of Technology, Amirkabir University of Technology and Norwegian University of Science and Technology (NTNU)
Downloads 36

Abstract:

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Aerial robotic system, Autonomous monitoring, Photovoltaic power plants, convolutional neural networks (CNNs), YOLO classifiers, Real-time inspection