Peyman Razmi
AuthID: R-00K-WRW
1
TÃTULO: Machine Learning-Based Sizing of a Renewable-Battery System for Grid-Connected Homes With Fast-Charging Electric Vehicle Full Text
AUTORES: Khezri, Rahmat; Razmi, Peyman; Mahmoudi, Amin; Bidram, Ali; Khooban, Mohammad Hassan;
PUBLICAÇÃO: 2023, FONTE: IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, VOLUME: 14, NÚMERO: 2
AUTORES: Khezri, Rahmat; Razmi, Peyman; Mahmoudi, Amin; Bidram, Ali; Khooban, Mohammad Hassan;
PUBLICAÇÃO: 2023, FONTE: IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, VOLUME: 14, NÚMERO: 2
INDEXADO EM: WOS
2
TÃTULO: Neuromorphic deep learning frequency regulation in stand-alone microgrids Full Text
AUTORES: Yildirim, Burak; Razmi, Peyman; Fathollahi, Arman; Gheisarnejad, Meysam; Khooban, Mohammad Hassan;
PUBLICAÇÃO: 2023, FONTE: APPLIED SOFT COMPUTING, VOLUME: 144
AUTORES: Yildirim, Burak; Razmi, Peyman; Fathollahi, Arman; Gheisarnejad, Meysam; Khooban, Mohammad Hassan;
PUBLICAÇÃO: 2023, FONTE: APPLIED SOFT COMPUTING, VOLUME: 144
INDEXADO EM: Scopus WOS
3
TÃTULO: Machine Learning-Based Sizing of a Renewable-Battery System for Grid-Connected Homes With Fast-Charging Electric Vehicle Full Text
AUTORES: Khezri, Rahmat; Razmi, Peyman; Mahmoudi, Amin; Bidram, Ali; Khooban, Mohammad Hassan;
PUBLICAÇÃO: 2023, FONTE: IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, VOLUME: 14, NÚMERO: 2
AUTORES: Khezri, Rahmat; Razmi, Peyman; Mahmoudi, Amin; Bidram, Ali; Khooban, Mohammad Hassan;
PUBLICAÇÃO: 2023, FONTE: IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, VOLUME: 14, NÚMERO: 2
INDEXADO EM: WOS