دکتر نام شما s.hosseini@iut.ac.ir نشانی دفتر گروه مهندسی برق و کامپیوتر، دانشکده فنی مهندسی گلپایگان شماره تماس +98 3157240065 فکس +98 3157240067 زمینه های مورد علاقه حفاظت شبکه های قدرت ریزشبکه ها شبکه های هوشمند منابع تجدیدپذیر انرژی Dr. Seyed Amir Hosseini نوع: Journal عنوان عنوان کنفرانس Date Novel hybrid fuzzy-SVR model for fault detection in VSC-HVDC transmission lines INTERNATIONAL JOURNAL OF ELECTRICAL POWER and ENERGY SYSTEMS 1404-07 A Novel Hybrid Statistical Method for Power Swing Detection in Transmission Lines With Grid-Following Inverter IET Generation Transmission and Distribution 1404-05 Enhanced Fault Detection and Classification in AC Microgrids Through a Combination of Data Processing Techniques and Deep Neural Networks Sustainability(Switzerland) 1403-11 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 1403-10 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 1403-09 Providing a fault detection method for the occurrence of faults in DC microgrids distributed generations and electrical vehicles 1402-12 Fault Detection in a Single-Bus DC Microgrid Connected to EV/PV Systems and Hybrid Energy Storage Using the DMD-IF Method 1402-08 An Overview of DC Microgrid Protection Schemes and the Factors Involved 1402-06 نوع: Conference عنوان Date A New Method Based on Empirical Wavelet Transform in Order to Detect Current Transformer Saturation in Distance Relay 1403-02 Penetration Evaluation of Residential EV Chargers Considering Grid Parameters and Constraints 1402-06