Tehran, November 2025 – As power grids evolve to accommodate higher levels of green energy, the intersection of Artificial Intelligence and electrical engineering has become a focal point for industry advancement. Addressing this critical trend, the IEIPE organized a specialized two-day scientific workshop titled "AI-Driven Optimization & Renewable Integration in Smart Grids".
Distinguished Instruction The workshop, held on November 18th and 19th, featured Prof. Masoud Aliakbar Golkar, a distinguished professor from K.N. Toosi University of Technology (KNTU), as the lead instructor. Prof. Golkar, a renowned expert in Distributed Generation (DG) and Deep Learning applications in power systems, guided participants through complex concepts regarding grid stability and resilience.
Deep Dive into AI & Renewables The curriculum was designed to bridge the gap between theoretical AI models and practical grid application. Key topics covered during the sessions included:
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Forecasting: Utilizing Machine Learning for Distributed Energy Resources (DER) prediction.
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Optimization: Strategies for Optimal Power Flow (OPF) in networks with high renewable penetration.
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Control Systems: AI-based strategies for microgrid management.
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Flexibility: Data-driven approaches to Demand Response and grid flexibility.
Interactive Learning Environment The event brought together a mix of power system engineers, renewable energy specialists, and academic researchers. The virtual format allowed for dedicated Q&A sessions with Prof. Golkar, where real-world case studies were analyzed to demonstrate how AI can solve current industry bottlenecks.
Professional Recognition Attendees who successfully completed the workshop were awarded an Official E-Certificate of Participation, recognizing their engagement with advanced topics in smart grid technology.
The IEIPE continues to be at the forefront of educational initiatives for the power sector. For more information on future workshops and resources, please visit our website.
IEIPE Education Department Autumn 2025 Email: infoiranipa.com Phone: +98 21 8103 2326
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