Measuring Peak Shaving Efficiency of an Energy Storage Device Under Load Uncertainty with Machine Learning-Based Forecasting Techniques
Energy storage systems enhance grid efficiency by mitigating peak demand and balancing generation variability. This work addresses the challenge of achieving optimal peak shaving without prior knowledge of the actual load profile. To this end, we introduce the Forecast-Integrated Shortest Path (FISP...
Збережено в:
| Автори: | , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2025-12-01
|
| Серія: | Energies |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/1996-1073/19/1/61 |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|