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cs.LG2026
On-Meter Graph Machine Learning: A Case Study of PV Power Forecasting for Grid Edge Intelligence
Jian Huang, Zixiang Ming, Yongli Zhu +1
This paper presents a detailed study of how graph neural networks can be used on edge intelligent meters in a microgrid to forecast photovoltaic power generation. The problem backg…
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…