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EEEEEE 2008-2025 EEEEEE 2026 JAN FEB MAR APR MAJ JUN 2026 JUL AVG SEP OKT NOV DEC OKT 21-23, 2026 - Beograd, Srbija MEĐUNARODNI SAJAM ENERGETIKE OCT 04-08, 2026 - Vancouver, Canada ECCE 2026 OCT 05-07, 2026 - Singapore GEPE 2026 OCT 06-07, 2026 - Sao Paolo, Brazil Latin American Smart Grid Forum OCT 06-08, 2026 - San Francisco, USA 2026 IEEE PES Resiliency Summit OCT 07-08, 2026 - Budva, Montenegro ENERGY WEEK WESTERN BALKANS OCT 11-13, 2026 - Fort Worth, USA EPIC26 OCT 16-19, 2026 - Xi`an, China PEIE 2026 OCT 18-21, 2026 - Doha, Qatar IECON 2026 OCT 18-21, 2026 - Madaba, Jordan SMART 2026 OCT 19-22, 2026 - Budapest, Hungary IEEE PES ISGT EUROPE 2026 OCT 22, 2026 - Washington, USA ACORE Grid Forum OCT 26-27, 2026 - Amsterdam, Netherlands Energy World 2026 OCT 26-29, 2026 - Richmond, USA 2026 GRID OF THE FUTURE SYMPOSIUM 
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SEP 21-24, 2026 - Salt Lake City, USA PMAPS 2026 PMAPS 2026 The University of Utah, in partnership with the Western Electricity Coordinating Council (WECC) is proud to host the 2026 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), to be held September 21–24, 2026, in Salt Lake City, Utah. Held biennially, PMAPS brings together engineers, scientists, and industry professionals to share cutting-edge research, exchange ideas, and explore collaboration opportunities in the power systems sector. As a leader in power and energy systems research, the University of Utah is partnering with WECC, North America`s largest reliability coordinating council, to deliver a dynamic, well-organized, and memorable conference experience. Artificial intelligence is rapidly reshaping the energy landscape — both as an unprecedented source of demand through large-scale computing and data centers, and as a transformative tool for operating and securing the grid. At the same time, electrification, evolving load controllability, and intensifying extreme weather events are placing new stresses on generation, transmission, and distribution systems. In response, PMAPS 2026 centers its theme on Towards Reliable Power Grids in the Age of AI and Large Loads, calling on participants to advance probabilistic methods that integrate AI-enabled forecasting, control, and decision-making with traditional reliability assessment. This year`s conference will highlight innovative approaches to planning and operating power systems that remain dependable under the combined pressures of emerging technologies, complex demand patterns, and extreme weather-driven hazards.  |