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SEDIMARK: AI-Powered Energy Innovation

SEDIMARK · March 25, 2025
Energy innovation

At the heart of #SEDIMARK lies a powerful AI architecture, featuring MageAI and MLFlow, designed to revolutionize energy optimization. MageAI orchestrates seamless AI workflows, while MLFlow automates robust machine learning pipelines, enabling accurate and localized energy consumption predictions. Our integrated system supports dynamic customer management strategies, ensuring a transparent, scalable, and efficient solution for energy forecasting.

We leverage capabilities like federated learning, real-time inference, and secure data exchange to enhance the reliability and usability of our system. This AI-driven approach empowers users to make data-driven decisions, fostering a sustainable energy future. Through advanced analytics and actionable insights, we are transforming energy distribution and enhancing customer experiences.

We are poised to optimize energy management for the future, making waves in energy efficiency. Learn how #SEDIMARK is leading the charge in #AIforEnergy, #DataDriven, and #EnergyInnovation. #METLEN #AI #Sustainability #Innovation #EnergyEfficiency

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On June 25–26, the @sedimark consortium met in Dublin for a productive GA hosted by @ucddublin ! Focus: advancing the MVI & MVM components + prep for the upcoming Hackathon in September.
Great energy, clear roadmap ahead! 🚀 #HorizonEU #datasharing #AI

🎉 Excited to share that Tarek Elsaleh will represent @sedimark at OpenSource Community Day 2025 in Madrid (23–24 Sept)! He’ll speak on how EU projects like SEDIMARK are advancing open data & innovation. 🇪🇺

📍 Don’t miss this key #opensource event!

🚀 Just Published: A Practical Guide to Multivariate Time Series Forecasting with Crossformer Package.
This tool is useful for forecasting tasks in domains like energy or sensor networks—where handling multiple correlated signals is essential.

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