Distributed Energy Resources Electric Profile Identification in Low Voltage Networks Using Supervised Machine Learning Techniques

Distributed Energy Resources Electric Profile Identification in Low Voltage Networks Using Supervised Machine Learning Techniques

Increasing integration of distributed energy resources (DER) in the electrical network has led distribution network operators to unprecedented challenges. This issue is compounded by the lack of monitoring infrastructure on the low voltage (LV) side of distribution networks at residential and utilit...

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Bibliographic Details
Main Authors: Andres F. Moreno Jaramillo, Javier Lopez-Lorente, David M. Laverty, Paul V. Brogan, Santiago H. Hoyos Velasquez, Jesus Martinez-Del-Rincon, Aoife M. Foley
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Distributed energy resources (DER)
non-intrusive load monitoring (NILM)
low voltage networks distribution networks (LVN)
random forest
supervised machine learning
Online Access:https://ieeexplore.ieee.org/document/10049841/

Internet

https://ieeexplore.ieee.org/document/10049841/

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