2 papers
cs.LG2026
Cloud-Edge Collaborative Large Models for Robust Photovoltaic Power Forecasting
Nan Qiao, Shuning Wang, Sijing Duan +5
Photovoltaic (PV) power forecasting in edge-enabled grids requires balancing forecasting accuracy, robustness under weather-driven distribution shifts, and strict latency constrain…
cs.LG2025
On-Device Training of PV Power Forecasting Models in a Smart Meter for Grid Edge Intelligence
Jian Huang, Yongli Zhu, Linna Xu +3
In this paper, an edge-side model training study is conducted on a resource-limited smart meter. The motivation of grid-edge intelligence and the concept of on-device training are…