Welcome to NoLOAD_Jax’s documentation!

Introduction to NoLOAD_Jax

NoLOAD_Jax stands for Non-Linear Optimization using Automatic Differentiation with Jax package. It aims to be a light non-linear optimization tool for energy components and systems. It is an Open Source project located on GitLab at NoLOAD Gitlab, with available open benchmark examples at NoLOAD benchmark Gitlab

Contents

Indices and tables

NoLOAD_Jax in scientific publications

NoLOAD_Jax appears in the following scientific publications :

  • Agobert, L., Gerbaud, L., & Delinchant, B. (2025). Optimization with Time and Frequency Constraints Using Automatic Differentiation: Application to an Aircraft Electrical Power Channel. Applied Sciences, 15(7), 3624. https://doi.org/10.3390/app15073624

  • Lucas Agobert, Benoit Delinchant, Laurent Gerbaud. Optimization on frequency constraints with FFT using Automatic Differentiation on hybrid ODE applications. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2024, 43 (4), pp.821-838.

  • Agobert, L., Hodencq, S., Delinchant, B., Gerbaud, L., & Frederic, W. (2021, September). NoLOAD, Open Software for Optimal Design and Operation using Automatic Differentiation. In OIPE2020-16th International Workshop on Optimization and Inverse Problems in Electromagnetism.

  • Hodencq, Sacha, Benoit Delinchant, and Frederic Wurtz. “Vers l’ouverture des modeles d’optimisation de systemes energetiques pour l’Analyse de Cycle de Vie: cas d’etude d’un foyer en autoconsommation photovoltaique avec l’outil open source NoLOAD.” SYMPOSIUM DE GENIE ELECTRIQUE (SGE 2020). 2020.

  • Hodencq, Sacha, Benoit Delinchant, and Wurtz Frederic. “Open and Reproducible Use Cases for Energy (ORUCE) methodology in systems design and operation: a dwelling photovoltaic self-consumption example.” Building Simulation 2021. 2021.

Acknowledgments

A special thank is adressed to the contributors that are not main authors, such as Manh Tung Phan for the IHM (Human-Machine Interaction.)