We offer an insight into our mathematical endeavors, which aim to advance the foundational understanding of energy systems in a broad context, encompassing facets such as charge transport, energy storage, markets, and collective behavior. Our working techniques include a combination of well-posed mathematical models (both deterministic and stochastic), mathematical analysis arguments (mostly concerned with model dimension reduction and averaging, periodic homogenization), and simulation tools (numerical approximation techniques, computational statistics, high-performance computing).
@article{arxiv.2412.18615,
title = {Mathematics for energy systems: Methods, modeling strategies, and simulation},
author = {Nicklas Jävergård and Grigor Nika and Adrian Muntean},
journal= {arXiv preprint arXiv:2412.18615},
year = {2024}
}