Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Amir Ghasemkhani"'
Autor:
Mahyar Gholizadeh, Amir Ghasemkhani, Sajjad Tohidi, Ashknaz Oraee, Hashem Oraee, Ehsan Najafi
Publikováno v:
IEEE Access, Vol 12, Pp 11330-11339 (2024)
Low-voltage ride-through (LVRT) is one of the most important criteria for integrating wind energy into the power grid. Based on grid connection codes, wind generators must remain connected during fault conditions. However, this requires a careful pro
Externí odkaz:
https://doaj.org/article/99622370ea104eaebcc45c88b11ce3ca
Publikováno v:
Future Internet, Vol 15, Iss 1, p 17 (2022)
This paper investigates the short-term wind farm generation forecast. It is observed from the real wind farm generation measurements that wind farm generation exhibits distinct features, such as the non-stationarity and the heterogeneous dynamics of
Externí odkaz:
https://doaj.org/article/72deb4f039844512b5704369751065b7
Publikováno v:
IET Cyber-Physical Systems (2019)
In this study, the authors investigate the secondary control of microgrids (MGs) in the presence of cyber imperfections such as delay and/or noise, and system disturbances. The existence of cyber imperfections and disturbance could bring in system un
Externí odkaz:
https://doaj.org/article/98a85c6da594474f8c63f2b3595b7611
Autor:
Amir Ghasemkhani, Mostafa Dehghani
Publikováno v:
International Journal of Ambient Energy. :1-15
Publikováno v:
American Journal of Distance Education. :1-19
Publikováno v:
IEEE Sensors Journal. 22:10671-10683
Publikováno v:
Acta Mechanica. 232:2955-2972
The current study develops a 3D constitutive model for photo-thermal sensitive hydrogels based on free energy decomposition. The hydrogel under study is PNIPAM network with copper chlorophyllin nanoparticle agents attached to the network. The effect
Publikováno v:
2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS).
Publikováno v:
IEEE Transactions on Smart Grid. 12:1519-1528
This article presents a novel data recovery framework for missing synchrophasor measurements. The imputation accuracy for the existing data recovery methods is significantly reduced when there are consecutive data losses across multiple data streams.
Publikováno v:
Journal of Intelligent Material Systems and Structures. 32:661-677
The behavior of a temperature-sensitive micro-channel have been investigated in this study which mainly includes a functionally graded (FG) hydrogel as a sensor or an actuator. In order to achieve this goal, both fluid-structure interaction (FSI) and