Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Hamed Nademi"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 8, p 1323 (2024)
Power electronic converters are an enabling technology for the emerging marine energy applications, such as using ocean waves to produce electricity. This paper outlines the power take-off system and its key components used in a wave energy converter
Externí odkaz:
https://doaj.org/article/b6986c7f20364526a990b4fb16f22d07
Autor:
Bo Zhang, Hamed Nademi
Publikováno v:
IEEE Access, Vol 8, Pp 129372-129386 (2020)
A modular multilevel converter (MMC) is an emerging converter technology widely used in wind power applications using high-voltage direct current (HVDC) transmission, and it has been largely investigated in medium-voltage solar harvesting as well as
Externí odkaz:
https://doaj.org/article/b1c8a7a5300941228b13726b66634814
Autor:
Hamed Nademi
Publikováno v:
2022 IEEE 7th Southern Power Electronics Conference (SPEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ac147bfde4f300f7729501a68042ba3
https://doi.org/10.1109/spec55080.2022.10058376
https://doi.org/10.1109/spec55080.2022.10058376
Autor:
Reza Kamali-Sarvestani, Hamed Nademi
Publikováno v:
2022 IEEE Conference on Technologies for Sustainability (SusTech).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cdd62310c2b0791ce44c74e72b9598a
https://doi.org/10.1109/sustech53338.2022.9794259
https://doi.org/10.1109/sustech53338.2022.9794259
Publikováno v:
IET Energy Systems Integration. 2:144-150
Developing automation solutions that enable remote communications, monitoring and control for subsea applications are key steps in designing subsea power distribution systems. These systems require fast local control to protect the multiple electrica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d119f89164ed873a8019a01588aec459
https://doi.org/10.1049/iet-esi.2019.0080
https://doi.org/10.1049/iet-esi.2019.0080
Autor:
Frank Miyagishima, Sijo Augustine, Olga Lavrova, Hamed Nademi, Satish Ranade, Matthew J. Reno
Publikováno v:
2021 North American Power Symposium (NAPS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::338cfb803c2fed89b15ca649b4e7465f
https://doi.org/10.1109/naps52732.2021.9654783
https://doi.org/10.1109/naps52732.2021.9654783
Autor:
Kourosh Sedghisigarchi, James Choi, Shehab Ahmed, Luigi Vanfretti, Prottay M. Adhikari, Hamed Nademi
Publikováno v:
IECON
The importance of power system real-time modeling and simulation is now evident due to its ability to support developers during design, prototyping and verification processes. Studying challenges faced during substantial integration of distributed en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79edeeee5988450c0a8e9e3c8f27195b
https://doi.org/10.1109/iecon48115.2021.9589817
https://doi.org/10.1109/iecon48115.2021.9589817
Publikováno v:
ISIE
Wind power converters with modularity and scalability features paly pivotal role in interfacing of wind farms with the medium/high-power systems. These offshore or onshore grids are vulnerable to instabilities during certain working conditions that a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::309c8e282830f1c7f2ab662610c6f599
https://doi.org/10.1109/isie45552.2021.9576451
https://doi.org/10.1109/isie45552.2021.9576451
Publikováno v:
AIAA Propulsion and Energy 2020 Forum.
In this work, the electrical distribution system of a Boeing 747 aircraft is implemented in Modelica. The electrical system is modeled in detail as far as generation and loads are concerned, aiming to capture any relevant dynamics and instabilities t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::522ed60d721a6fd5ca7dc5a1ae6e6dcc
https://doi.org/10.2514/6.2020-3544
https://doi.org/10.2514/6.2020-3544
Autor:
Bo Zhang, Hamed Nademi
Publikováno v:
2020 IEEE Transportation Electrification Conference & Expo (ITEC).
A Mechine Learning-based predictive model is developed for optimal dispatching energy storage system integrated with Electric Vehicle battery charger. The model is effectively trained using transfer learning algorithm and successfully validated via m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::575be715599488d5a28c3cb036824ad0
https://doi.org/10.1109/itec48692.2020.9161572
https://doi.org/10.1109/itec48692.2020.9161572