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Special Sessions
IECON 2026 is now accepting papers in the approved special sessions and
papers can be submitted on
paper submission portal
SS01: Design, Control and Fault Detection of Power Converters for Energy Storage and EV Charging Systems
SS02: AI-driven Optimization Control Approaches in Renewable Energy Systems
SS03: Advanced Modeling and Control of Grid-Connected Converters for Distributed Generation and Power Quality
SS04: Intelligent Modelling and Fault Diagnosis Techniques for Safety-critical Industrial Systems
SS05: Recent Advances of Model Predictive Control for Power Electronics
SS06: Power Electronics Advances for Hydrogen Production and Systems
SS07: Sliding Mode Control, Model Predictive Control and AI-Assisted Advanced Control of Power Electronics Converter
SS08: Multimodal Foundation Models and Agentic AI for Intelligent Industrial Electronics and Manufacturing Systems
SS09: Integration of Renewable Energy Sources and Energy Storage Operations for Sustainable and Reliable Power System
SS10: High Gain Multilevel Converters for Medium/High Voltage Applications
SS11: Cybersecurity Frameworks for Modern Power Systems: Threats, Resilience, and Intelligent Defence
SS12: Advanced Multilevel Converters for Green Energy Integration: Topology, Modulation, Control Strategies, and Applications
SS13: DC-DC Power Converters for EVs: Innovative Topologies, Intelligent Control, and Practical Applications
SS14: Advanced Control of Electric Machines and Drive Systems for Grid-Supportive Renewable Energy Applications
SS15: Stability Control, Analysis and Implementation of Grid-following/Grid-forming Renewable Energy Systems
SS16: Power-Electronic-Enabled Control and Market-Oriented Operation of Smart Microgrids: Optimization, Demand Response, and Peer-to-Peer Energy Trading
SS17: Current Challenges in Grid Integration: New Technologies, Practical Solutions, and Advanced Modeling & Control
SS18: Applied Power Electronics for Modern Industrial Systems: Converter Design, Control and Practical Deployment
SS19: Health and Usage Monitoring Systems (HUMS)–Driven Predictive Maintenance for Urban and Advanced Air Mobility
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