Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Kok-Soon Tey"'
Autor:
Neha Bhushan, Saad Mekhilef, Kok Soon Tey, Mohamed Shaaban, Mehdi Seyedmahmoudian, Alex Stojcevski
Publikováno v:
Energies, Vol 17, Iss 16, p 3884 (2024)
This paper introduces a novel convolutional neural network (CNN) architecture tailored for state of charge (SoC) estimation in battery management systems (BMS), accompanied by an advanced optimization technique to enhance training efficiency. The pro
Externí odkaz:
https://doaj.org/article/153bf85ee4374c7fbf63b109705c4f42
Autor:
Utpal Kumar Das, Kok Soon Tey, Mohd Yamani Idna Bin Idris, Saad Mekhilef, Mehdi Seyedmahmoudian, Alex Stojcevski, Ben Horan
Publikováno v:
IEEE Access, Vol 10, Pp 15594-15604 (2022)
Increasing the forecasting accuracy of photovoltaic (PV)-generated power is currently an important topic, particularly in the maintenance of the stability and reliability of modern electric grid systems. In this study, a model based on a particle swa
Externí odkaz:
https://doaj.org/article/dc6efb6a9f854355a684b2af77bbb048
Publikováno v:
Energies, Vol 16, Iss 3, p 1363 (2023)
The uses of grid-connected photovoltaic (PV) inverters are increasing day by day due to the scarcity of fossil fuels such as coal and gas. On the other hand, due to their superior efficiency, lower cost, smaller size, and lighter weight when compared
Externí odkaz:
https://doaj.org/article/af487398b7184a95830dff4425089c0a
Autor:
Yen-Jie Ee, Kok-Sing Lim, Kok Soon Tey, Hangting Yang, Cheong-Weng Ooi, Hangzhou Yang, Harith Ahmad
Publikováno v:
Transactions of the Institute of Measurement and Control. 45:1515-1524
In this work, we propose an efficient reconstruction scheme for compressive sensing (CS) of fiber Bragg grating (FBG) spectrum. Taking advantage of the sparse reflection spectrum of the FBG array network, we have demonstrated the use of CS for compre
Autor:
Prashant Shrivastava, Syed Bahari Ramadzan Syed Adnan, Saad Mekhilef, KOK SOON TEY, Mohd. Yamani Idna Idris
Publikováno v:
International Journal of Energy Research. 46:10704-10723
Publikováno v:
IEEE Access. 10:112609-112628
Publikováno v:
2022 IEEE International Conference on Power and Energy (PECon).
Publikováno v:
IEEE Transactions on Sustainable Energy. 12:2255-2267
In this paper, an Improved Social Ski Driver based MPPT algorithm (ISSD-MPPT) has been proposed. Single dynamic tuning parameter making the algorithm implementation simpler as compared to the others. Besides, the ISSD-MPPT also increased the converge
Publikováno v:
IEEE Transactions on Industrial Electronics. 68:7093-7103
Maximum power point tracking (MPPT) is one of the crucial components to ensure that the photovoltaic (PV) system operates optimally. The bypass diodes are added across series-connected PV modules to avoid the hotspot phenomenon, which resulted in mul
Publikováno v:
IEEE Transactions on Power Electronics. 36:5569-5581
In this article, a new maximum power point tracking algorithm based on a modified butterfly optimization algorithm has been proposed. The proposed method is capable of differentiating between different partial shading patterns, uniform shading, solar