![]() POWER SYSTEMS |
POWER SYSTEMS |
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JUN 01-04, 2026 - Houston, USA CLEANPOWER 2026 JUN 01-04, 2026 - Santiago de Chile, Chile SGSMA 2026 JUN 07-09, 2026 - Melbourne, Australia PEAE 2026 JUN 09-10, 2026 - Brussels, Belgium CIRED 2026 Brussels Workshop JUN 17-20, 2026 - Cape Town, South Africa Africa Energy Forum JUN 22-23, 2025 - Belgrade, Serbia DEMSEE 2026 JUN 22-25, 2026 - Munich, Germany The smarter E Europe JUN 23-25, 2026 - Rio de Janeiro, Brazil Energy Summit 2026 JUN 26-28, 2026 - Shanghai, China HEEPS 2026 |
MAY 28-29, 2026 - Amsterdam, Netherlands
European Electricity Price Forecasting and Modelling 2026 15th European Electricity Price Forecasting and Modelling 2026 28 – 29 May 2026 | Amsterdam, Netherlands The 15th Electricity Price Forecasting & Modelling Conference 2026 unites Europe`s top market analysts, quants, traders, and system operators to explore advanced forecasting techniques, market design changes, volatility drivers, and data-driven modelling innovations shaping the future of electricity price prediction. The 15th Electricity Price Forecasting & Modelling Conference 2026 returns as Europe’s most influential platform for advancing power market forecasting, modelling innovation, and trading strategy. As Europe’s electricity system undergoes unprecedented transformation—driven by rising renewable penetration, flexibility markets, evolving market design, and increasing grid volatility—accurate, data-driven price forecasting has become mission-critical for utilities, traders, TSOs, DSOs, analysts, and investors. This conference brings together leading quants, economists, traders, system operators, modelling experts, and technology innovators to explore cutting-edge forecasting methodologies across short-term, intraday, real-time, balancing, and long-term horizons. Attendees will gain insights into how policy changes, congestion patterns, cross-border flows, climate variability, and extreme weather impact market dynamics and price formation. Through advanced modelling sessions, case studies, interactive panels, and networking opportunities, participants will discover how to integrate new forecasting inputs—such as system reliability indicators, storage behaviour, fuel markets, flexibility signals, and non-traditional datasets—into modern electricity price models. ![]() |
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