[HTML][HTML] Evaluating and comparing machine learning approaches for effective decision making in renewable microgrid systems

I Elabbassi, M Khala, O Eloutassi - Results in Engineering, 2024 - Elsevier
This study addresses the critical issue of energy management in micro-grid (MG) systems
incorporating renewable energy sources and hydrogen storage. The research introduces an …

AI-Based Forecasting of Hourly Air Temperature in Sub-Saharan Areas of Morocco

M Khala, N El yanboiy, I Elabbassi, O Eloutassi… - Smart Internet of Things …, 2024 - Springer
Solar energy conversion systems are meticulously engineered to adeptly transform solar
energy into electrical energy, thus exemplifying a pivotal focus on sustainable energy …

Efficient Solar Radiation Prediction through Adaptive Neighborhood Rough Set-Based Feature Selection in Meteorological Streaming Data in Errachidia, Morocco

MK Boutahir, AO Alaoui, Y Farhaoui… - Internet of Things and …, 2024 - taylorfrancis.com
Online streaming feature selection methods have recently gained significant attention for
processing high-dimensional data. However, existing approaches often focus on single …

Neural Network for FCEVs and RM Power Management using V2G technology

I Elabbassi, M Khala, N El Yanboiy… - … on Circuit, Systems …, 2024 - ieeexplore.ieee.org
this study investigates the effectiveness of various training algorithms for engineering
simulations and integrates the Fuel Cell Electric Vehicle to Grid system into its energy …

AI-Based Forecasting of Hourly Air Temperature in Sub-Saharan Areas

M Halimi, Y El Hassouani… - Smart Internet of Things …, 2024 - books.google.com
Solar energy conversion systems are meticulously engineered to adeptly transform solar
energy into electrical energy, thus exemplifying a pivotal focus on sustainable energy …

Comparative Study on Machine Learning Based Decision-Making for Microgrid Component Operation

I Elabbassi, M Khala, N El yanboiy… - … Workshop on Big Data …, 2024 - Springer
Proposed energy management strategy for micro-grid (MG) with renewable energy storage
(hydrogen tank) reduces emissions. Comparing k-Nearest Neighbors (k-NN) and Random …

Comparative Study of Machine Learning for Managing EV Energy Storage with Battery-Hydrogen Tank

I Elabbassi, N Elyanboiy, M Khala… - … Conference on Electrical …, 2023 - Springer
This study utilized machine learning methods to manage the battery storage system and
hydrogen tank, while taking into account the motor speed, average speed (57.6 km/h), motor …

AI-Based Forecasting of Hourly Air Temperature in Sub-Saharan Areas of Morocco

M Halimi, Y El Hassouani, C Messaoudi - … Internet of Things for Environment and … - Springer
Solar energy conversion systems are meticulously engineered to adeptly transform solar
energy into electrical energy, thus exemplifying a pivotal focus on sustainable energy …