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EEEEEE 2008-2025 EEEEEE 2025 JUL AVG SEP OKT NOV DEC 2026 JAN FEB MAR APR MAJ JUN APR 15-18, 2026 - Zlatibor, Srbija ENERGETIKA 2026 APR 28-29, 2026 - Beograd, Srbija Beogradski energetski forum APR 10-12, 2026 - Porto, Portugal ICACER 2026 APR 13-14, 2026 - Boston, USA Transmission & Distribution Summit APR 14, 2026 - Brussels, Belgium 2026 European Grids Summit APR 15-16, 2026 - Milan, Italy SolarPLUS Europe APR 15-16, 2026 - Bilbao, Spain Energy Tech Summit APR 15-16, 2026 - Santiago, Chile Latin America Energy Summit 2026 APR 16-17, 2026 - Urbana-Champaign, USA PECI 2026 APR 17-19, 2026 - Nanjing, China CEEPE 2026 APR 17-19, 2026 - Seoul, South Korea FCEE2026 APR 17-19, 2026 - Fuzhou, China ICPIES 2026 APR 22-24, 2026 - Cambria, USA Utility Energy Forum APR 28-30, 2026 - Osaka, Japan CEES 2026
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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. ![]() |