Mathematics for energy systems: Methods, modeling strategies, and simulation
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866913625540657152 |
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| author | Jävergård, Nicklas Nika, Grigor Muntean, Adrian |
| author_facet | Jävergård, Nicklas Nika, Grigor Muntean, Adrian |
| contents | 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). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_18615 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Mathematics for energy systems: Methods, modeling strategies, and simulation Jävergård, Nicklas Nika, Grigor Muntean, Adrian General Mathematics 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). |
| title | Mathematics for energy systems: Methods, modeling strategies, and simulation |
| topic | General Mathematics |
| url | https://arxiv.org/abs/2412.18615 |