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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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MAY 22-23, 2025 - Amsterdam, Netherlands European Electricity Price Forecasting and Modelling 2025 13th European Electricity Price Forecasting and Modelling 2025 22 - 23 May 2025 | Amsterdam Join The 13th Electricity Price Forecasting & Modelling Conference 2025 to explore challenges and opportunities in the evolving energy market. As renewable energy integration increases and demand for sustainable power grows, accurate electricity price forecasting is vital. This event focuses on advanced modeling, predictive tools, and strategies to navigate market volatility and enhance grid stability. Attendees will discover the latest techniques in forecasting, innovations in market design, and how improved accuracy supports renewable energy integration. Network with industry leaders, policymakers, and technology providers while gaining insights into the future of energy trading and grid resilience. In addition to expert panels and case studies, the conference will highlight the role of digital transformation in energy forecasting, from AI-driven analytics to blockchain-based trading models. Discover how cutting-edge technologies are reshaping the future of electricity price forecasting and empowering businesses to make data-driven decisions in an increasingly complex energy landscape.  |