Accueil › Annuaire des chercheurs › Sihem Nasri
Sihem Nasri
Affiliation : Tunis University · Tunis El Manar University
- 36Publications (affiliation tunisienne)
- 39Publications au total
- 303Citations
- 9Indice h
Profil de recherche
Sihem Nasri compte 36 publications référencées (2013–2026). Ses travaux paraissent principalement dans « Global Power, Energy and Communication Conference », « International Journal of Hydrogen Energy » et « Energies ». Son article le plus cité, « Power management strategy for hybrid autonomous power system using hydrogen storage » (2015), a été cité 74 fois. 14 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs, notamment dans des établissements de Arabie saoudite, Danemark.
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Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Hybrid Renewable Energy Systems
- Electric and Hybrid Vehicle Technologies
- Microgrid Control and Optimization
- Electric Vehicles and Infrastructure
- Power Systems and Renewable Energy
Publications (36)
- Route-Aware AI-Assisted Fault Diagnosis and Fault-Tolerant Energy Management for Hybrid Hydrogen Electric Vehicles: SIL and PIL Validation
- Adaptive On-Device Arabic Speech Recognition for Smart Wheelchair Control Using a Self-Tuning Meta-Learning Agent
- Embedded Deep Learning for Short-Term PV Forecasting Under Export Constraints
- A Driving-Behavior-Centered Framework for EV Battery Aging, EOF Estimation, and Supervisory Low-Carbon Decision Support
- Hybrid AI-based Forecasting and Optimization of Power Sector Carbon Emissions: Case of Tunisia
- AI-Based Multimodal Assistive Mobility System With an Arabic Voice Interface Using an Embedded NVIDIA Jetson Nano Platform
- Global Analysis of Electric Vehicle Charging Infrastructure and Sustainable Energy Sources Solutions
- Electric Vehicle Charging Infrastructure: Impacts and Future Challenges of Photovoltaic Integration with Examples from a Tunisian Case
- An Intelligent Framework for Energy Forecasting and Management in Photovoltaic-Integrated Smart Homes in Tunisia with V2H Support Using LSTM Optimized by the Harris Hawks Algorithm
- V2G-Enabled Smart Energy Management for Sustainable Home Electrification
- Optimization of Temporal Convolutional Networks Using Harris Hawks Algorithm for Efficient Embedded Speech Recognition
- Optimized Intelligent Energy Management for Isolated Smart Homes with Solar, Hydrogen, and V2H Integration
- Control and Optimization of Hydrogen Hybrid Electric Vehicles Using GPS-Based Speed Estimation
- Real-time voice-controlled human machine interface system for wheelchairs implementation using Raspberry Pi
- Real-time voice-controlled human machine interface system for wheelchairs implementation using Raspberry Pi
- Innovative Grid-Connected Photovoltaic Systems Control Based on Complex-Vector-Filter
- Robust Real-time Automatic Voice Command based on Raspberry pi for assistance disabled people
- A Multi-Agent System for Smart Energy Management Devoted to Vehicle Applications: Realistic Dynamic Hybrid Electric System Using Hydrogen as a Fuel
- Smart Home Energy Management System Design: A Realistic Autonomous V2H / H2V Hybrid Energy Storage System
- Performance Evaluation of an Appraisal Autonomous System with Hydrogen Energy Storage Devoted for Tunisian Remote Housing
- A Predictive Real-Time Energy Management Control for a Hybrid PEMFC Electric System Using Battery/Ultracapacitor
- Coordinated Scheduling of Fuel Cell-Electric Vehicles and Solar Power Generation Considering Vehicle to Grid Bidirectional Energy Transfer Mode
- Design and implementation of an intelligent home energy management system: A realistic autonomous hybrid system using energy storage
- Autonomous hybrid system and coordinated intelligent management approach in power system operation and control using hydrogen storage
- Performance study and efficiency improvement of Hybrid Electric System dedicated to transport application
- Study of dynamic performance of an Hybrid Electric System combining FC/Battery/SC
- Multi-Input Single-Output State Space for Hybrid Power System Approach Using PEMFC
- Study of Hybrid Autonomous Power System Modelling Via Multi-Agents Strategy
- Dynamic response and efficiency improvement of hybrid autonomous power system
- Dynamic response and efficiency improvement of hybrid autonomous power system
- Power management strategy for hybrid autonomous power system using hydrogen storage
- Multi-agent approach analysis for a hybrid electric system based on renewable energy source
- A Smart Management Approach Investigation for Hybrid Autonomous Power System
- A New Control Approach for Hydrogen Consumption System Handling
- Manipulation of a Stand-alone renewable energy system based on Energy Management approach
- A supervisory command and simulation of a PEMFC/UCap hybrid electrical system
Revues de publication
- Global Power, Energy and Communication Conference × 4
- International Journal of Hydrogen Energy × 4
- Energies × 3
- International Renewable Energy Congress × 3
- World Electric Vehicle Journal × 2
- International Journal of Vehicle Information and Communication Systems × 2
Publications par année
- 20266
- 20256
- 20242
- 20231
- 20222
- 20195
- 20181
- 20176
- 20161
- 20154
Collaborations
Établissements partenaires : École Supérieure Privée d'Ingénierie et de Technologies · King Abdulaziz University · Aalborg University · Ecole Nationale d'Ingénieurs de Monastir · Société Tunisienne de l'Electricité et du Gaz (Tunisia)
Pays des co-auteurs : Arabie saoudite · Danemark
Co-auteurs
- Adnane Chérif
- Aymen Mnassri
- Cherif Adnane
- Noura Y. Mansouri
- Nouha Mansouri
- Sami Ben Slama
- Adnan Cherif
- M. Boussif
- Mansouri Nouha
- Chérif Adnen
- Bassam Abdulwahab Zafar
- Marwan Mahmoud
Données bibliographiques issues d’OpenAlex (base ouverte).
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