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EEEEEE 2008-2025 EEEEEE 2026 JAN FEB MAR APR MAJ JUN 2026 JUL AVG SEP OKT NOV DEC NOV 17-19, 2026 - Zlatibor, Srbija Simpozijum CIGRE Srbija NOV 01-03, 2026 - Dhaka, Bangladesh i-COSTE 2026 NOV 02-03, 2026 - Barcelona, Spain NET ZERO EUROPE NOV 02-06, 2026 - Cairo, Egypt PEPSC 2026 NOV 05-06, 2026 - Dallas, USA Transmission & Distribution Summit NOV 07-08, 2026 - Ho Chi Minh City, Vietnam EAI ICRESM 2026 NOV 09-11, 2026 - Seoul, South Korea eGrid 2026 NOV 10-12, 2026 - Vienna, Austria Enlit Europe 2026 NOV 13-15, 2026 - Yichang, China SGEI 2026 NOV 13-15, 2026 - Singapore ICPEE 2026 NOV 17-18, 2026 - Denver, USA Transmission & Distribution Conference 2026 NOV 20-23, 2026 - Jilin, China ICPEE 2026 NOV 24-25, 2026 - Berlin, Germany DLR & GETs 2026 
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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.  |