Wind turbine and PV power prediction using a deterministic data-driven model with variational mode decomposition preprocessing
S El Bakali, H Ouadi… - Transactions of the …, 2024 - journals.sagepub.com
This study develops a method for accurately forecasting solar radiation (SR), wind speed
(WS), and air temperature (AT) for the coming 24 hours in order to predict energy production …
(WS), and air temperature (AT) for the coming 24 hours in order to predict energy production …
Optimal Electric Water Heater Sizing for Large Consumers using Techno-Economic Indicators
S El Bakali, H Ouadi… - 2024 22nd International …, 2024 - ieeexplore.ieee.org
This article presents an algorithm developed to optimally determine the number and
capacity of electric water heaters (EWHs) meeting the hot water needs of these structures …
capacity of electric water heaters (EWHs) meeting the hot water needs of these structures …
Data-Driven Charging Load Prediction Based on Multi-Attention Mechanism and Long Short-Term Memory Networks of Electric Vehicles for Microgrid
As the number of electric vehicles (EVs) continues to increase, their role as a flexible and
controllable load provides significant potential for regulating energy consumption and offers …
controllable load provides significant potential for regulating energy consumption and offers …
Optimized Priority-Based Ev Charging: Maximizing Satisfaction, Reducing Costs and Minimizing Grid Impact
N MOUNIR, H Ouadi, I JRHILIFA, EL Bakali - Optimized Priority-Based … - papers.ssrn.com
Encouraging the transition to electric vehicles (EVs) necessitates efficient management of
residential parking environments, which present unique challenges compared to public …
residential parking environments, which present unique challenges compared to public …