On-Device Training of PV Power Forecasting Models in a Smart Meter for Grid Edge Intelligence
To ensure a resilient and autonomous execution of the photovoltaic power forecasting task for a remote microgrid in cloud-less and weak-communication situations, an original study regarding edge-side model-training is conducted on a resource-constrained smart meter. On-device training of two represe...
Збережено в:
| Автори: | , , , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2026-01-01
|
| Серія: | IEEE Open Access Journal of Power and Energy |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/11361107/ |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|