Portal del Investigador
Towards Greater Reliability Amid Resource Variability: Hybrid Forecasting Models Applied to Renewable Solar Energy for Green Hydrogen Production
Más información
| Fecha de publicación: | 2025 |
| Objetivos: | General Objective: To propose a hybrid forecasting model based on deep neural networks (DNNs) assisted by optimization algorithms, aiming to improve the accuracy and efficiency of solar energy generation predictions compared to state-of-the-art methods. |
| Año de Inicio/Término: | 2025-2026 |
| Financiamiento/Sponsor: | Dirección de InvestigaciónPontificia Universidad Católica de Valparaíso |
| Rol del Usuario: | DIRECTOR(A) |