A deep learning approach for prediction of electrical vehicle charging stations power demand in regulated electricity markets: The case of Morocco

Autor: Boulakhbar, Mouaad, Farag, Markos, Benabdelaziz, Kawtar, Kousksou, Tarik, Zazi, Malika

Publikováno v: In Cleaner Energy Systems December 2022 3

A comparative study of insect diversity and distribution across elevations at Denai Cadamba, UiTM Puncak Alam, Malaysia.

Autor: FATHIAH, KHAIRUDIN NURUL, DINDA PUTRI ALHAFIZA, ISKANDAR MUDA, AMIN, IBRAHIM NUR, NUR NADIAH, MD YUSOF, SITI KHAIRIYAH, MOHD HATTA, NOOR AKMAL, ABD WAHAB, NORHAFIZAH, MOHD ZAZI

Publikováno v: Biodiversitas: Journal of Biological Diversity; Oct2024, Vol. 25 Issue 10, p3473-3479, 7p

A Reinforcement Learning Based Transmission Parameter Selection and Energy Management for Long Range Internet of Things

Autor: Yassine Yazid, Antonio Guerrero-González, Imad Ez-Zazi, Ahmed El Oualkadi, Mounir Arioua

Publikováno v: Sensors, Vol 22, Iss 15, p 5662 (2022)

Internet of Things (IoT) landscape to cover long-range applications. The LoRa-enabled IoT devices adopt an Adaptive Data Rate-based (ADR) mechanism to assign transmission parameters such as spreading factors, transmission energy, and coding rates. Ne

Externí odkaz: https://doaj.org/article/d690d9a583a14ee4a8894eb086507617

A new metaheuristic unscented Kalman filter for state vector estimation of the induction motor based on Ant Lion optimizer

Autor: Rayyam, Marouane, Zazi, Malika, Barradi, Youssef

Publikováno v: COMPEL -The international journal for computation and mathematics in electrical and electronic engineering, 2018, Vol. 37, Issue 3, pp. 1054-1068.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/COMPEL-06-2017-0239

On the performance of adaptive coding schemes for energy efficient and reliable clustered wireless sensor networks

Autor: Ez-zazi, Imad, Arioua, Mounir, El Oualkadi, Ahmed, Lorenz, Pascal

Publikováno v: In Ad Hoc Networks September 2017 64:99-111