Event Recap

On-Demand Webinar: Efficient Data Fitting with MILP

In this webinar, Quentin Ploussard, Energy Systems Engineer at Argonne National Laboratory, introduces a Mixed-Integer Linear Programming (MILP) approach for fitting continuous piecewise linear functions to complex utility data. This method provides a rigorous, interpretable alternative to neural networks and ensures globally optimal results with fewer linear pieces, improving model efficiency and transparency.

The webinar covers key topics such as:

  • How MILP-based modeling works

  • Real-world applications in power systems and hydropower modeling

  • Benefits over traditional AI-based methods like neural networks

Watch the on-demand version to gain insights into this innovative modeling technique and see how it can transform your approach to energy systems optimization.

Event Materials

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