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New publication by RENergetic team

Exciting News in Machine Learning for Energy Forecasting!

Our team has just published a groundbreaking article titled “Replicable Machine Learning Workflow for Energy Forecasting.”

Authors: Stepan GaginAdrián Carrasco RevillaHermann DeMeerNuria Sánchez Almodóvar

💡🔗 This article dives deep into a replicable workflow for leveraging machine learning in energy forecasting, providing valuable insights and methodologies for the industry.

Read the full article here (pp. 11-12): https://opus.bibliothek.uni-augsburg.de/…/file/109636.pdf

💪🔬Let’s continue pushing the boundaries of what’s possible in machine learning and its applications in the energy sector!

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