| A machine learning approach for collusion detection in electricity markets based on nash equilibrium theory P Razmi, MO Buygi, M Esmalifalak Journal of Modern Power Systems and Clean Energy 9 (1), 170-180, 2020 | 30 | 2020 |
| Topology identification in distribution system via machine learning algorithms P Razmi, M Ghaemi Asl, G Canarella, AS Emami Plos one 16 (6), e0252436, 2021 | 16 | 2021 |
| Neuromorphic deep learning frequency regulation in stand-alone microgrids MHK Burak Yildirim , Peyman Razmi , Arman Fathollahi , Meysam Gheisarnejad applied soft computing, 2023 | 13 | 2023 |
| Machine Learning-based Sizing of a Renewable-Battery System for Grid-Connected Homes with Fast-Charging Electric Vehicle R Khezri, P Razmi, A Mahmoudi, A Bidram, MH Khooban IEEE Transactions on Sustainable Energy, 2022 | 11 | 2022 |
| Collusion Strategy Investigation and Detection for Generation Units in Electricity Market Using Supervised Learning Paradigm P Razmi, MO Buygi, M Esmalifalak IEEE Systems Journal 15 (1), 146-157, 2020 | 7 | 2020 |
| Adaptive fuzzy gain scheduling PID controller for frequency regulation in modern power system M Peyman Razmi, Tohid Rahimi, Kamel Sabahi, Meysam Gheisarnejad IET Renewable power generation, 2022 | 4 | 2022 |
| Machine Learning Approaches in a Real Power System and Power Markets P Razmi Application of Machine Learning and Deep Learning Methods to Power System …, 2021 | 2 | 2021 |
Mohammad EsmalifalakFiix SoftwareVerified email at fiixsoftware.com
