المؤلفون: Mohamed, Muamar

مصطلحات موضوعية: intelligence artificielle, algorithme XGBoost, inertie virtuelle, fréquence du système électrique stabilité, micro-réseau, contrôle hiérarchique, photovoltaic, batteries, diesel generateur

وصف الملف: application/pdf

Relation: https://espace.etsmtl.ca/id/eprint/3507/1/MOHAMED_Muamar.pdf; Mohamed, Muamar (2024). Advanced hierarchical control based on extreme gradient boosting (XGBoost) algorithm for hybrid solar-diesel-battery standalone microgrid. Thèse de doctorat électronique, Montréal, École de technologie supérieure.

الاتاحة: https://espace.etsmtl.ca/id/eprint/3507/
https://espace.etsmtl.ca/id/eprint/3507/1/MOHAMED_Muamar.pdf

المؤلفون: Mohamed, Muamar, Mahmood, Farhad E., Abd, Mehmmood A., Chandra, Ambrish, Singh, Bhim

المصدر: IEEE Transactions on Industry Applications ; volume 58, issue 6, page 7857-7869 ; ISSN 0093-9994 1939-9367

الاتاحة: http://dx.doi.org/10.1109/tia.2022.3199182
http://xplorestaging.ieee.org/ielx7/28/9956958/09858626.pdf?arnumber=9858626

المؤلفون: Mohamed, Muamar, Chandra, Ambrish, Abd, Mehmmood A., Singh, Bhim

المصدر: 2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)

الاتاحة: http://dx.doi.org/10.1109/pedes49360.2020.9379497
http://xplorestaging.ieee.org/ielx7/9379328/9379330/09379497.pdf?arnumber=9379497