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15 - 16 September | Berlin, Germany
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Tuesday September 15, 2026 11:05 - 11:35 CEST
For reliable and cost-efficient distribution grid operation and redispatch management, accurate short-term forecasting is a core prerequisite. At E.ON, we originally relied on vendor-built “black box” forecasting solutions and experienced the familiar trade-offs: slow iteration cycles, limited transparency, and dependence on external roadmaps. In this talk, I’ll share our journey to an open-source target picture for transformer load forecasting in a redispatch context. After a quick intro to the redispatch problem and our system setup, I’ll walk through our OpenSTEF-based approach. I’ll then present results from a real benchmark against an external model and the practical lessons learned; what mattered, what didn’t, and where open source helped us move faster. Finally, I’ll cover the organizational path: how we navigated compliance and governance with our Open Source Office to turn from user into contributor.
Speakers
avatar for Alexander Geiseler

Alexander Geiseler

AI Software Engineer, E.ON Digital Technology
Alexander Geiseler is a seasoned AI Software Engineer at E.ON Digital Technology, focusing on forecasting and data-driven solutions for grid operations. He currently works on transformer-level load forecasting in the context of redispatch management and is actively driving the adoption... Read More →
Tuesday September 15, 2026 11:05 - 11:35 CEST
Seebühne

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