Dr. Seyed Amir Hosseini

Dr. Seyed Amir Hosseini

s.hosseini@iut.ac.ir
Office
Electrical and Computer Engineering Group, Golpayegan College of Engineering
Phone
+98 3157240065
Fax
+98 3157240067
Positions
Assistant Professor of Golpayegan College of Engineering, Isfahan University of Technology
Research Interests
Power System Protection
Microgrid
Smartgrid
Renewable Energy
type: Conference
Title Conference / Journal Date
Fault Detection in Transmission Line Connected to Grid-Forming Inverter Using Variational Mode Decomposition and Chaos Metric 20th International Conference on Protection and Automation in Power Systems
بيستمين كنفرانس بين المللي حفاظت و اتوماسيون در سيستم هاي قدرت
A Non-intrusive Load Monitoring Using a VMDEMD Signal Processing and BiGRU-BiLSTM Deep Learning Approach The 15th International Smart Grids Conference (SGC2025)
پانزدهمين كنفرانس بين المللي شبكه هاي هوشمند انرژي
A New Method Based on Empirical Wavelet Transform in Order to Detect Current Transformer Saturation in Distance Relay 32nd International Conference on Electrical Engineering (ICEE 2024)
سي و دومين كنفرانس بين المللي مهندسي برق
type: Journal
Title Conference / Journal Date
Novel hybrid fuzzy-SVR model for fault detection in VSC-HVDC transmission lines INTERNATIONAL JOURNAL OF ELECTRICAL POWER and ENERGY SYSTEMS
A Novel Hybrid Statistical Method for Power Swing Detection in Transmission Lines With Grid-Following Inverter IET Generation Transmission and Distribution
Enhanced Fault Detection and Classification in AC Microgrids Through a Combination of Data Processing Techniques and Deep Neural Networks Sustainability(Switzerland)
بهينه سازي چندهدفه براي مديريت يكپارچه منابع توليد پراكنده و شارژ/دشارژ خودروهاي برقي در شبكه هاي توزيع با استفاده از مكانيزم قيمت گذاري حاشيه اي مكاني
كيفيت و بهره وري صنعت برق ايران
A deep learning model for fault detection in distribution networks with high penetration of electric vehicle chargers e-Prime - Advances in Electrical Engineering, Electronics and Energy
Providing a fault detection method for the occurrence of faults in DC microgrids distributed generations and electrical vehicles
Fault Detection in a Single-Bus DC Microgrid Connected to EV/PV Systems and Hybrid Energy Storage Using the DMD-IF Method