关注
Peyman Razmi
Peyman Razmi
Researcher in Renewable Energy Resources, Data Scientist and Machine Learning Expert
在 uwasa.fi 的电子邮件经过验证
标题
引用次数
引用次数
年份
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, 2021
342021
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
192022
Topology identification in distribution system via machine learning algorithms
P Razmi, M Ghaemi Asl, G Canarella, AS Emami
Plos one 16 (6), e0252436, 2021
192021
Neuromorphic deep learning frequency regulation in stand-alone microgrids
MHK Burak Yildirim , Peyman Razmi , Arman Fathollahi , Meysam Gheisarnejad
applied soft computing, 2023
172023
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, 2021
92021
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
62022
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
22021
Data-Driven Intermittent Earth Fault Detection in Compensated and Isolated MV Networks
P Razmi, M Pashaei, M Karimi, K Kauhaniemi, MG Simoes
2024 International Workshop on Artificial Intelligence and Machine Learning …, 2024
2024
Analyzing the Performance of AC Microgrids in Stand-Alone Operation with Artificial Neural Network Controllers
Q Ullah, P Razmi, ĈC Resende, MG Simões
2024 International Workshop on Artificial Intelligence and Machine Learning …, 2024
2024
Intelligent charging station recommendations for electric vehicles in the charging market: a fuzzy− deep learning approach
MS Seyedyazdi, P Razmi, MH Khooban
Applications of Deep Machine Learning in Future Energy Systems, 63-91, 2024
2024
系统目前无法执行此操作,请稍后再试。
文章 1–10