Short Term Course & Faculty Development Programme on "Next-Gen Power Networks: AI & Real-Time Simulation for Microgrids and EVs" (NEXG-AIMEV -2026)

#STEM #iape-jtchapter-11091 #microgrid#Power #Electronic #Converters #EV#Real-Time-Simulation#AI

    Five-Day ANRF PAIR & IEEE Kolkata Section IA & PE Joint Societies Chapter-Rourkela jointly organised Short Term Course & Faculty Development Programme on "Next-Gen Power Networks: AI & Real-Time Simulation for Microgrids and EVs" (NEXG-AIMEV -2026), scheduled to be held at NIT Rourkela from 11th-15th March 2026 in Hybrid Mode.  The speakers from reputed academia and industry will share their experiences with  participants across Pan India basis.

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• Rourkela, Orissa
• India 769008
• Building: Electrical Sciences Building
• Room Number: EE 401

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• Co-sponsored by ANRF PAIR PROGRAM

• Starts 12 February 2026 06:30 PM UTC
• Ends 10 March 2026 06:30 PM UTC
• No Admission Charge

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The evolution of power systems toward high penetration of renewable energy sources, widespread deployment of microgrids, and rapid growth of electric vehicles (EVs) has introduced unprecedented complexity in power network planning and operation. Conventional analysis and control techniques are no longer sufficient to address the dynamic, distributed, and real-time nature of next-generation power networks.
Artificial Intelligence (AI) and real-time simulation have emerged as key technologies to enable intelligent, adaptive, and resilient power systems. AI facilitates predictive analytics, optimal control, and autonomous decision-making, while real-time simulation provides a realistic platform for system modeling, hardware-in-the-loop testing, and validation of control strategies. Their integration is particularly crucial for effective microgrid management and EV charging coordination.
This Faculty Development Programme (FDP) is designed to provide participants with a comprehensive understanding of AI-enabled power networks using real-time simulation tools. The programme emphasizes both foundational concepts and hands-on exposure, enabling faculty members to incorporate these advanced topics into teaching and research. This will serve as a platform for capacity building by offering in-depth theoretical knowledge and practical training fostering research and innovation in this emerging domain.