Deep learning methods and applications for electrical power systems: A comprehensive review AK Ozcanli, F Yaprakdal, M Baysal International Journal of Energy Research 44 (9), 7136-7157, 2020 | 233 | 2020 |
Islanding detection in microgrids using harmonic signatures J Merino, P Mendoza-Araya, G Venkataramanan, M Baysal IEEE Transactions on Power Delivery 30 (5), 2102-2109, 2014 | 121 | 2014 |
Energy management algorithm for smart home with renewable energy sources AR Boynuegri, B Yagcitekin, M Baysal, A Karakas, M Uzunoglu 4th international conference on power engineering, energy and electrical …, 2013 | 98 | 2013 |
Islanding detection in microgrid using deep learning based on 1D CNN and CNN-LSTM networks AK Ozcanli, M Baysal Sustainable Energy, Grids and Networks 32, 100839, 2022 | 77 | 2022 |
A novel Multi-LSTM based deep learning method for islanding detection in the microgrid AK Özcanlı, M Baysal Electric Power Systems Research 202, 107574, 2022 | 60 | 2022 |
Power quality assessment of grid-connected wind farms considering regulations in turkey C Kocatepe, A İnan, O Arıkan, R Yumurtacı, B Kekezoğlu, M Baysal, ... Renewable and Sustainable Energy Reviews 13 (9), 2553-2561, 2009 | 46 | 2009 |
Smart hybrid wind-solar street lighting system fuzzy based approach: Case study Istanbul-Turkey M Wadi, A Shobole, MR Tur, M Baysal 2018 6th international Istanbul smart grids and cities congress and fair …, 2018 | 44 | 2018 |
Comparison between open-ring and closed-ring grids reliability M Wadi, M Baysal, A Shobole 2017 4th International Conference on Electrical and Electronic Engineering …, 2017 | 34 | 2017 |
Impact of demand side management on spinning reserve requirements designation MR Tur, S Ay, A Erduman, A Shobole, M Baysal, M Wadi International Journal of Renewable Energy Research 7 (2), 946-953, 2017 | 34 | 2017 |
A deep neural network-assisted approach to enhance short-term optimal operational scheduling of a microgrid F Yaprakdal, MB Yılmaz, M Baysal, A Anvari-Moghaddam Sustainability 12 (4), 1653, 2020 | 32 | 2020 |
A detailed analytical analysis of a passive resonant snubber cell perfectly constructed for a pulse width modulated dc–dc buck converter H Bodur, A Bakan, M Baysal Electrical Engineering 85, 45-52, 2003 | 32 | 2003 |
Optimal operational scheduling of reconfigurable microgrids in presence of renewable energy sources F Yaprakdal, M Baysal, A Anvari-Moghaddam Energies 12 (10), 1858, 2019 | 31 | 2019 |
Reliability evaluation in smart grids via modified Monte Carlo simulation method M Wadi, M Baysal, A Shobole, MR Tur 2018 7th International Conference on Renewable Energy Research and …, 2018 | 28 | 2018 |
Real time active power control in smart grid A Shobole, M Wadi, MR Tür, M Baysal 2017 IEEE 6th International Conference on Renewable Energy Research and …, 2017 | 27 | 2017 |
Effects of distributed generations’ integration to the distribution networks case study of solar power plant A Shobole, M Baysal, M Wadi, MR Tur International Journal of Renewable Energy Research 7 (2), 954-964, 2017 | 22 | 2017 |
Improved optimal sizing of hybrid PV/wind/battery energy systems G Gursoy, M Baysal 2014 International Conference on Renewable Energy Research and Application …, 2014 | 22 | 2014 |
Harmonic effects of power system loads: An experimental study C Kocatepe, R Yumurtacı, O Arıkan, M Baysal, B Kekezoğlu, A Bozkurt, ... Power Quality Issues, 2013 | 22 | 2013 |
Improving real-time energy decision-making model with an actor-critic agent in modern microgrids with energy storage devices KB Gassi, M Baysal Energy 263, 126105, 2023 | 20 | 2023 |
An adaptive protection technique for smart distribution network A Shobole, M Baysal, M Wadi, MR Tur Elektronika ir Elektrotechnika, 2020 | 20 | 2020 |
Feasibility study of wind energy potential in turkey: Case study of Catalca district in Istanbul M Wadi, B Kekezoglu, M Baysal, MR Tur, A Shobole 2019 2nd International Conference on Smart Grid and Renewable Energy (SGRE), 1-6, 2019 | 20 | 2019 |