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MAY 04-06, 2026 - Orlando, USA Microgrid Knowledge 2026 MAY 04-07, 2026 - Chicago, USA 2026 IEEE PES T&D MAY 06-09, 2026 - Cavtat, Croatia ICTRAM Colloquium 2026 MAY 12-13, 2026 - Bamberg, Germany EEHE 2026 MAY 15-17, 2026 - Tianjin, China CIEEC2026 MAY 17-20, 2026 - Paraná, Brazil SEPOPE MAY 18-20, 2026 - Opole, Poland EPE 2026 MAY 18-21, 2026 - PALERMO, Italy ELECTRIMACS 2026 MAY 19-21, 2026 - Abu Dhabi, UAE The World Utilities Congress MAY 20-23, 2026 - San Sebastian, Spain ICSREE 2026 MAY 24-28, 2026 - Las vegas, USA IEEE ISPSD 2026 MAY 28-29, 2026 - Amsterdam, Netherlands European Electricity Price Forecasting and Modelling 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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