An accurate prediction of power sharing in a fuel-cell-based grid-interactive local energy system using machine learning techniques
Kandi Mounika; Akash Goel; Ankur Bhattacharjee
- Published
- Publisher
- Elsevier BV
- Journal / collection
- International Journal of Hydrogen Energy
- Research area
- AI & compute
- Source type
- Journal article
- DOI
- 10.1016/j.ijhydene.2025.152536
The original publisher provides the full text and its access options.
Cite this source
Kandi Mounika; Akash Goel; Ankur Bhattacharjee. An accurate prediction of power sharing in a fuel-cell-based grid-interactive local energy system using machine learning techniques. International Journal of Hydrogen Energy. 2025-12. https://doi.org/10.1016/j.ijhydene.2025.152536