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Hybrid cascaded MLI development for PV‐grid connection applications

  • Published:2022-09-22 Issue: Volume: Page:
  • ISSN:1755-4535
  • Container-title:IET Power Electronics
  • language:en
  • Short-container-title:IET Power Electronics

Author:

Noman Abdullah M.1,Al‐Shamma'a Abdullrahman A.2,Asef Pedram3,Alkuhayli Abdulaziz2

Affiliation:

1. Electrical Engineering Department, College of Engineering Prince Sattam Bin Abdulaziz University Al‐Kharj Saudi Arabia

2. Department of Electrical Engineering, Faculty of Engineering King Saud University Riyadh Saudi Arabia

3. Department of Electronic and Electrical Engineering University of Bath Bath UK

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Data-driven Identification Method for New Energy Grid-connected Fault Features Based on Convolutional Neural Network;2024 3rd International Conference on Energy, Power and Electrical Technology (ICEPET);2024-05-17
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