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eess.SY2024
Edge Computing for Microgrid via MATLAB Embedded Coder and Low-Cost Smart Meters
Linna Xu, Jian Huang, Shan Yang +1
In this paper, an edge computing-based machine-learning study is conducted for solar inverter power forecasting and droop control in a remote microgrid. The machine learning models…
eess.SY2024
Embedded Machine Learning for Solar PV Power Regulation in a Remote Microgrid
Yongli Zhu, Linna Xu, Jian Huang
This paper presents a machine-learning study for solar inverter power regulation in a remote microgrid. Machine learning models for active and reactive power control are respective…