Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Hamid, Ouadi"'
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 8, Iss , Pp 100624- (2024)
This paper presents a comprehensive solution for Multi-Individual load disaggregation and Multi-individual load Forecasting in residential energy systems. The approach combines Variable Mode Decomposition (VMD) and deep learning algorithms, incorpora
Externí odkaz:
https://doaj.org/article/8031528654be4c269252a93f26f044c6
Publikováno v:
In IFAC PapersOnLine 2024 58(13):835-840
Publikováno v:
In IFAC PapersOnLine 2024 58(13):296-301
Publikováno v:
In IFAC PapersOnLine 2024 58(13):290-295
Publikováno v:
Energies, Vol 16, Iss 19, p 6897 (2023)
Incorporating renewable Distributed Energy Resources (DER) into the main grid is crucial for achieving a sustainable transition from fossil fuels. However, this generation system is complicated by the fluctuating behavior of renewable resources and t
Externí odkaz:
https://doaj.org/article/a7d6c9419f5d4fb4820f71f6151ac724
Autor:
Youness Boumaalif, Hamid Ouadi
Publikováno v:
E3S Web of Conferences, Vol 469, p 00083 (2023)
This paper deals with torque ripple minimization in SRM through adaptive nonlinear current control while considering saturation. The proposed methodology for SRM speed tracking is based on Indirect Instantaneous Torque Control (IITC). Optimal referen
Externí odkaz:
https://doaj.org/article/7a5eba7cb9cd4bc2bce6865820438427
Publikováno v:
Clean Energy. 7:375-388
Most of the energy produced in the world is consumed by commercial and residential buildings. With the growth in the global economy and world demographics, this energy demand has become increasingly important. This has led to higher unit electricity
Publikováno v:
CEAS Space Journal.
Publikováno v:
Energy and Buildings. 288:113022
Publikováno v:
Clean Energy; Aug2023, Vol. 7 Issue 4, p911-925, 15p