- Building Energy and Comfort Optimization
- Electric Vehicles and Infrastructure
- Wireless Body Area Networks
- Advanced Data Compression Techniques
- Advanced Battery Technologies Research
- Digital Transformation in Industry
- Smart Grid Energy Management
- IoT and Edge/Fog Computing
- Microgrid Control and Optimization
- Hybrid Renewable Energy Systems
- IoT Networks and Protocols
- Solar Radiation and Photovoltaics
- Image and Signal Denoising Methods
- Digital Filter Design and Implementation
- Wind and Air Flow Studies
- Transportation and Mobility Innovations
- Photovoltaic System Optimization Techniques
- Energy Harvesting in Wireless Networks
- Ultra-Wideband Communications Technology
- Energy Load and Power Forecasting
- IoT-based Smart Home Systems
- Urban Heat Island Mitigation
- Energy Efficient Wireless Sensor Networks
- Virtual Reality Applications and Impacts
- Augmented Reality Applications
Moroccan Foundation for Advanced Science, Innovation and Research
2015-2025
École Marocaine des Sciences de l'Ingénieur
2015-2024
Université Ibn-Tofail
2024
University of Luxembourg
2024
University of Hassan II Casablanca
2017-2023
Casablanca (Brazil)
2020-2023
Laboratoire de Génie Informatique, de Production et de Maintenance
2020-2021
Laboratoire d'Automatique, Génie Informatique et Signal
2020-2021
Université de Lorraine
2013-2019
Laboratoire Matériaux Optiques, Photonique et Systèmes
2014
The goal of industrial revolutions is not only to improve and respond directly the needs industry in a productive side fact, but also standard living society make life easier for customers. Therefore, economic growth should always go hand with each revolution. In this context, increasing demand electricity, non-renewable nature conventional sources rising price fuel, are considered constraints 21st century need be definitively managed order meet constantly electricity from population best...
The internet of things represents the next phase digital revolution that will transform lives consumers. While Internet does not usually extend beyond electronic world, connected objects represent extension to and places. purpose this article is present different uses IoT in finance analyze impact trends on procedural scheme a traditional bank. It would be interesting gather types similarly processes We treat these same way carry out transformation using new techniques.
Traditional agriculture has been the pillar of development on planet for centuries. But with exponential population growth and increasing demand, farmers will need water to irrigate land meet this demand. Because scarcity resource, a solution that changes way they operate. With advent new technologies, notion Agriculture 4.0 become reality keep up addition artificial intelligence IoT through collection processing agricultural data, decisions have more precise facilitate decision-making. This...
The residential area represents a sector that consumes more electricity especially with the rapid urban growth and transition towards automation electrification of several daily activities human beings, namely: mobility residents’ indoor comfort. As result, meeting this increased demand requires proportional rise in fuel use to generate energy. This type conventional power production has significant impacts on environment. eco-friendly alternative is renewable energies its distributed form...
The increase demand for electricity and the non-renewable nature of fossil energy makes move towards renewable energies required. However, common problem sources, which is intermittence, overcome by hybridization complementary sources. Thus, whenever load not fully covered primary source, second one will absolutely support it. Furthermore, production, interaction with grid storage system must be managed grid-connected hybrid system, main objective this paper. Indeed, we propose a new...
During successive industrial revolutions, the objective has not only been for industry to improve and satisfy its direct needs, it also society's standard of living make life easier consumer. Therefore, economic growth should always go hand in with each revolution. The medical industry, energy conservation and, particular, production technologies will be transformed through new value chain models. Globalization, urbanization, demographic change transformation are transforming forces...
This paper investigates optimizing the power exchange between electric vehicles (EVs) and grid, with a specific focus on DC-DC converters utilized in vehicle-to-grid (V2G) systems. It specifically explores using model predictive control (MPC) synchronous boost to enhance efficiency performance. Through experiments simulations, this shows that replacing diodes SIC MOSFETs significantly improves efficiency, particularly mode, by minimizing deadtime of during switching. Additionally, study...
The objective of energy transition is to convert the worldwide sector from using fossil fuels sources that do not emit carbon by end current century. In order achieve sustainability in construction energy-positive buildings, it crucial employ novel approaches reduce reliance on fuels. Hence, essential develop buildings with very efficient structures promote sustainable practices and minimize environmental impact. Our aims were shed some light standards, building modeling strategies, recent...
Over the next few years, Industrial Wireless Sensor Network (IWSN), which is a major part of Object Internet (IIoT), will play crucial role in transforming industrial world by opening new era economic and competitive growth Revolution known as "Industry 4.0". IIoT able to help organizations achieve better benefits manufacturing markets increasing productivity, reducing costs developing services products. In this paper we present wireless communication system based on Node-RED platform using...
Due to the low total cost of production, photovoltaic energy is a key component installed renewable worldwide. However, volatile in nature as it depends on weather conditions. This makes integration, control, and operation this type difficult for network operators. Therefore, forecasting emerging solution effectively manage power system. In paper, we present time series based system using solar home database. We worked Australian data recorded from 2010 2013. Three large databases have been...
Our work is dedicated to enhancing sustainability through improved energy efficiency in buildings, with a specific focus on heating and cooling control the optimization of thermal comfort occupants. With an consumption more than 60% HVAC systems are biggest users. By integrating advanced technology, data algorithms, digital twins, our study aims optimize performance effectively. We have developed Neural Network-based Model Predictive Control (NNMPC) achieve this goal. Leveraging technologies...
Attention Deficit Hyperactivity Disorder (ADHD) is a disorder that starts in childhood, sometimes persisting into adulthood. It puts strain on their social, professional, family, and environmental lives, which can exacerbate disorders such as anxiety, depression, bipolar disorder. Background/Objectives: This paper aims to predict ADHD children adults explain the main factors impacting this Methods: We start by introducing symptoms challenges poses for epilepsy depression. Then, we present...
Photovoltaic (PV) systems experience significant power losses under partial shading conditions (PSCs) due to mismatched module outputs, limiting maximum extraction. To address this issue, a hybrid point tracking (MPPT) algorithm, artificial neural network–Grey wolf optimization (ANN–GWO), is introduced, combining ANNs and GWOs. ANN reduces time approximately 0.02 seconds during rapid weather fluctuations, while GWO enhances extraction severe conditions. On the grid side, model predictive...
New technology, through the IoT, Big Data and AI ecosystem, is foundation on which tomorrow's solutions are created. Improved processes with better decision making actors that drive evolution of services. This new technology has enabled innovations in several sectors including medical, manufacturing, automation, energy, education, others. It should be noted recent years, Industry 4.0 COVID-19 sanitary crisis have forced some remarkable transformations contributions to people's quality life,...
Due to the low total cost of production, Photovoltaic energy constitutes an important part renewable installed in world. However, photovoltaic is volatile nature because it depends on weather conditions, which makes integration, control and exploitation this type difficult for grid operators. In traditional architecture, system operators have accumulated enough experience that enables them determine how much operating reserves are required maintain reliability based statistical tools. Still,...
LoRa (Long Range) is a wireless communication technology, which has established itself in recent years as one of the most widely used LPWAN (Low-Power Wide-Area Network) technologies various IoT (Internet things) applications. It based on Chirp spread spectrum modulation (CSS) number bits per symbol depends spreading factor used, that varies from 7 to 12. In this paper, we have considered RSSI (Received Signal Strength Indicator) parameter indoor environment. For LoRa, use transceiver two...
Although the EVRP (Electric Vehicle routing problem) has promising results on environmental scale, its implementation proved challenging. The difficulty of resides in limited driving range electric vehicles, combined with significant charging time. While cost is less than fuel, this charge time adds to overall travel and may overlap customers’ windows. All these factors increased computational exponentially resulted need overlook some constraints such as traffic congestion, road conditions,...
This paper presents a groundbreaking control strategy for bidirectional battery charger that allows power to be injected into the smart grid while simultaneously compensating grid’s reactive using an electric vehicle battery. An artificial neural network (ANN) controller is utilized precise design ensure optimal performance with minimal error. The ANN technique applied generate sinusoidal pulse width modulation (SPWM) AC–DC inverter, entire algorithm simulated in MATLAB Simulink.The core...
In recent years many research works have study the problem of photovoltaic power forecasting because its importance to grid management and large-scale PV integration. order forecast Photovoltaic production in region Casablanca Morocco, a simple reliable model based on Support Vector Regression (SVR) local monitoring data is proposed this paper. Three models ε-SVR, ν-SVR LS-SVR are compared using five performance indicators, MAE, MSE, RMSE, R <sup...
Data and object connectivity are the key critical component of industry 4.0, Connectivity software, equipment, data ... all massive to be processed. Combined with cybersecurity, they become fundamental elements for creating intelligence in an industrial system that can increase flexibility production addition allocating resources more efficiently. In order successfully transition ecosystem must examine new skills required need qualified personnel. The fourth revolution corresponds widespread...
The development of an optimal control strategy to significantly reduce energy requirements while minimizing performance losses, including expected comfort during use, is great necessity given today's environmental, and economic challenges. Advanced technological tools, data processing algorithms digital twins must work together overcome these issues. It turns out that 60% the building sector's consumption comes from HVAC (Heating, Ventilation Air Conditioning) systems, which requires changes...