Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Ali Parizad"'
Publikováno v:
Dental Research Journal, Vol 19, Iss 1, Pp 33-33 (2022)
Background: The mechanical and thermal properties of polymethyl methacrylate, as the most commonly used material for the fabrication of dental prostheses, should be improved due to its structural weaknesses. The present study aimed to compare the fle
Externí odkaz:
https://doaj.org/article/4a9b3eb2e314412197b41600381a9b60
Publikováno v:
IEEE Systems Journal. :1-12
Publikováno v:
IEEE Transactions on Smart Grid. 13:4848-4861
Autor:
Ali Parizad, Constantine Hatziadoniu
Publikováno v:
IEEE Systems Journal. 16:3758-3769
Autor:
Hamid Reza Baghaee, Ali Parizad, Mohamad Esmaeil Iranian, Saman Aghili, Josep M. Guerrero, Meisam Mohseni
Publikováno v:
Iranian, M E, Mohseni, M, Aghili, S, Parizad, A, Baghaee, H R & Guerrero, J M 2022, ' Real-Time FPGA-Based HIL Emulator of Power Electronics Controllers Using NI PXI for DFIG Studies ', IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 10, no. 2, pp. 2005-2019 . https://doi.org/10.1109/JESTPE.2020.3023100
This article presents a high-performance hardware-in-the-loop (HIL) system aimed to assist experts in developing and testing power electronics control board and their logic with real-time (RT) models of both electrical and mechanical components. For
Autor:
Ali Parizad, Constantine Hatziadoniu
Publikováno v:
2021 IEEE Power & Energy Society General Meeting (PESGM).
Publikováno v:
Parizad, A, Mohamadian, S, Iranian, M E & Guerrero, J M 2019, ' Power System Real-Time Emulation : A Practical Virtual Instrumentation to Complete Electric Power System Modeling ', IEEE Transactions on Industrial Informatics, vol. 15, no. 2, 8360043, pp. 889-900 . https://doi.org/10.1109/TII.2018.2837079
Hardware-in-the-loop (HIL) simulation is a technique that is being used increasingly in the development and test of complex systems. Real-world testing of an intricate system in a field-like power plant can be challenging, time-consuming, expensive,
Publikováno v:
2020 52nd North American Power Symposium (NAPS).
As smart meters have proliferated in recent years, electrical power companies are dealing with a large volume of data, known as Big Data. Consistent with this issue, data science techniques are necessary to extract the patterns of consumption and for
Publikováno v:
2020 52nd North American Power Symposium (NAPS).
In this study, we propose a comprehensive and computationally efficient Probabilistic Quasi-Static Time Series (PQSTS) method in which the multiple uncertainties of forecasted load and PV data are employed in the distribution network planning problem
Publikováno v:
2021 IEEE Power and Energy Conference at Illinois (PECI).
State estimation (SE) plays a vital role in the reliable operation of modern power systems, gives situational awareness to the operators, and is employed in different functions of the Energy Management System (EMS), such as Optimal Power Flow (OPF),