SCOPE AND TOPICS

Artificial Intelligence and Related Applications
Renewable Energy and Electric Vehicles
Digital Transformation for Green Energy
Fault diagnosis and fault tolerant operation of renewable energy systems and electric vehicles
TRACK 1‐ Artificial Intelligence and Related Applications
1.1 Artificial Intelligence for Automation and Energy Systems—Chairs: Olfa Jemai, Tunisia; Azadeh Kermansaravi, Netherlands
Energy conversion and management systems; AI in power grids and in electric vehicles; intelligent transportation, IoT-based energy technologies;
1.2 Artificial Intelligence for Energy Distribution—Chairs: Anis Koubaa, Saudi Arabia; Mohammed Naji, Kuwait; Alfredo Vaccaro, Italy
Industry 4.0 and 5.0; load and renewable energy forecasting; machine learning methods for proactive power system control; deep learning and internet of things (IoT); robotic and automation systems; neural networks and fuzzy logic applications; smart agriculture; metaheuristic algorithms; computer vision; big data; enabling technologies for stability enhancement of low-inertia power systems; optimal placement of flexible distributed resources for enhanced grid management; AI-enabled tools for decarbonized power systems operation; AI power demand: data centers as flexible grid sources.
1.3 Artificial Intelligence for Biomedical, Bioinformatics and Bioprocess—Chairs: Boudour Ammar, Tunisia; Abdullatif Baba, Kuwait
AI Biomedical Data Processing, Intelligent Biosignal Processing, AI for healthcare monitoring systems, AI systems for biomedical processing.
2.1 Renewable Energy, Distributed Generation, and Smart Grids—Chairs: Chi-Seng Lam, Macau, China; Sagar Mahajan, Saudi Arabia; Issam Salhi, France; Yijie Wang, China
Photovoltaic energy, wind energy, hydroelectricity, wave energy, and other renewable energy sources (RES); distributed generation (DG); smart grids (SG); power quality in RES and smart grids; energy efficiency; energy planning; self-organizing V2G vehicles (EVs) providing grid ancillary services; optimal placement of flexible distributed resources for enhanced grid management.
2.2 Power converters and energy storage systems—Chairs: Alfonso Damiano, Italy; Miguel De Simón Martín, Spain; Wesam Rohouma, Qatar; Roberto Saletti, Italy; Imene Yahyaoui, Spain; Xibo Yuan, China
Advanced and innovative power converters for RES, DG, SG and EVs: topologies, modeling, control and modulations; hardware-in-the-loop systems and FPGA-based real-time simulation of power converters, DG, SG and EVs; battery modeling; energy storage and battery management systems: topologies, control and management techniques (SoC, SoH, etc.); AI techniques for battery modeling, control and management; decentralized methods for energy storage systems orchestration.
3.1 Cloud-Edge Computing and Digital Twins—Chairs: Wajih El Hadj Youssef, Tunisia; Jean Sawma, Lebanon
Cloud and edge computing architectures for energy systems, Distributed computing for real-time data processing and control, Digital twin modeling, simulation, and
synchronization of energy assets; AI-driven predictive analytics and optimization using digital twins; Cybersecurity and interoperability in cloud-edge energy platforms, High-performance computing for large-scale energy data management, Integration of digital twins with control and decision-support systems.
3.2 IoT-Enabled Green Energy Systems and Smart Infrastructure—Chairs: Ismaeel Al Ridhawi, Kuwait; Giancarlo Iannizzotto, Italy; Aymen Omri, Qatar
IoT architectures for renewable and distributed energy systems, Smart grids and intelligent urban energy networks, Wireless sensor networks for monitoring and automation, IoT-based predictive maintenance and fault detection, Integration of renewable energy sources into smart buildings and cities, Data analytics and embedded systems for energy efficiency, Sustainable and resilient operation of industrial and urban infrastructures.
Chairs: Hiba Al Sheikh, Lebanon; Shady Khalil, UK; Salim Hadj Said, Tunisia; Bin Zhang, USA; Shen Yin, Norway
Fault detection of power converters, electric machines and sensors used in renewable energy systems and electric vehicles; Fault detection of PV modules and wind turbines, Fault tolerant control techniques, Signal processing and machine learning techniques for fault detection and isolation, Aging techniques of power semiconductors
Mobile/WhatsApp
+21623882186
+96594428228

The 3rd IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE & GREEN ENERGYIEEE ICAIGE26
About
Authors
Registration