Webinar

MILP Formulation for Piecewise Linear Fitting: A Rigorous Alternative to Neural Networks for Multidimensional Data

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.

August 20, 2025

2:00 PM ET

Webinar

MILP Formulation for Piecewise Linear Fitting: A Rigorous Alternative to Neural Networks for Multidimensional Data

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.

August 20, 2025

2:00 PM ET

Webinar

MILP Formulation for Piecewise Linear Fitting: A Rigorous Alternative to Neural Networks for Multidimensional Data

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.

August 20, 2025

2:00 PM ET

Why you should attend the webinar

Discover a novel and highly effective Mixed-Integer Linear Programming (MILP) method for fitting Continuous Piecewise Linear (CPWL) functions to multidimensional data

Learn about advanced modeling techniques for multidimensional data fitting, particularly within energy and infrastructure systems

Learn how ILP method achieves superior efficiency, yielding significantly fewer linear pieces for a given approximation error

Why you should attend the webinar

Discover a novel and highly effective Mixed-Integer Linear Programming (MILP) method for fitting Continuous Piecewise Linear (CPWL) functions to multidimensional data

Learn about advanced modeling techniques for multidimensional data fitting, particularly within energy and infrastructure systems

Learn how ILP method achieves superior efficiency, yielding significantly fewer linear pieces for a given approximation error

Why you should attend the webinar

Discover a novel and highly effective Mixed-Integer Linear Programming (MILP) method for fitting Continuous Piecewise Linear (CPWL) functions to multidimensional data

Learn about advanced modeling techniques for multidimensional data fitting, particularly within energy and infrastructure systems

Learn how ILP method achieves superior efficiency, yielding significantly fewer linear pieces for a given approximation error

Speakers

Meet Your Expert Speaker

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI and optimization.

  • Quentin Ploussard, PhD

    Energy Systems Engineer

    Image

    Quentin Ploussard is an Energy Systems Engineer at Argonne National Laboratory. He holds M.S. degrees in Electrical Engineering and Economics, and a Ph.D. in Operations Research. With over 12 years of experience in optimization and power systems modeling, he has collaborated with multiple federal agencies, including the Western Area Power Administration and the Bureau of Reclamation. His work has been supported by the U.S. Department of Energy through several water–power–focused projects.

Speakers

Meet Your Expert Speaker

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI and optimization.

  • Quentin Ploussard, PhD

    Energy Systems Engineer

    Image

    Quentin Ploussard is an Energy Systems Engineer at Argonne National Laboratory. He holds M.S. degrees in Electrical Engineering and Economics, and a Ph.D. in Operations Research. With over 12 years of experience in optimization and power systems modeling, he has collaborated with multiple federal agencies, including the Western Area Power Administration and the Bureau of Reclamation. His work has been supported by the U.S. Department of Energy through several water–power–focused projects.

Speakers

Meet Your Expert Speaker

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI and optimization.

  • Image

    Energy Systems Engineer

    Quentin Ploussard, PhD

    Quentin Ploussard is an Energy Systems Engineer at Argonne National Laboratory. He holds M.S. degrees in Electrical Engineering and Economics, and a Ph.D. in Operations Research. With over 12 years of experience in optimization and power systems modeling, he has collaborated with multiple federal agencies, including the Western Area Power Administration and the Bureau of Reclamation. His work has been supported by the U.S. Department of Energy through several water–power–focused projects.

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Secure Your Spot Today!

Don't miss out on these invaluable insights.

Can’t attend live? Registered attendees receive a recording.

register

Secure Your Spot Today!

Don't miss out on these invaluable insights.

Can’t attend live? Registered attendees receive a recording.

register

Secure Your Spot Today!

Don't miss out on these invaluable insights.

Can’t attend live? Registered attendees receive a recording.