LinMOG

LinMOG is a collection of tools for the generation of linear models for univariate and multivariate functions. Furthermore, the linear model can be automatically transformed into a MILP optimization formulation.

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What LinMOG can do for you

The packages in LinMoG are briefly described in the following.

Hinging_Hyperplanes

The hinging hyperplane package can be utilized for data driven model generation and visualization of multivariate functions with one output variable

Opt_model

Using this package, piecewise linear models can be transformed into different MILP formulations.

Univariate_model

Package for data-driven modeling of univariate functions.

Documentation

You can also build the documentation locally, following the instructions in the docs directory.

Referencing

When using LinMOG in an academic context please cite

@inproceedings{holtwerth2022data,
  title={Data-Driven Generation of Mixed-Integer Linear Programming Formulations for Model Predictive Control of Hybrid Energy Storage Systems Using Detailed Nonlinear Simulation Models},
  author={Holtwerth, Alexander and Xhonneux, Andr{\'e} and M{\"u}ller, Dirk},
  booktitle={2022 Open Source Modelling and Simulation of Energy Systems (OSMSES)},
  pages={1--6},
  year={2022},
  organization={IEEE}
}

License

This project is licensed under the MIT License.

Installation

Currently, it is only supported using source files.

Participating organisations

Forschungszentrum Jülich

Reference papers

Mentions

Contributors

Helmholtz Program-oriented Funding IV

Research Field
Research Program
PoF Topic
1 Energy
1.1 Energy System Design
1.1.1 Energy System Transformation
1.1.2 Digitalization and System Technology
  • 1 Energy
    • 1.1 Energy System Design
      • 1.1.1 Energy System Transformation
      • 1.1.2 Digitalization and System Technology

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Updated 10 months ago
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