Enhancing LV system resilience through probabilistic forecasting of interdependent variables: voltage, reactive and active power

This paper presents a probabilistic forecasting approach tailored for low voltage (LV) substations, offering short-term predictions for three crucial variables: voltage, reactive power, and active power. These parameters play a vital role in the resilience of distribution systems, especially in the presence of Distributed Energy Resources (DERs).

forecasting
probabilistic
machine learning
low voltage network
Author

Anthony Faustine and Pereira, Lucas

Published

July 11, 2025

Doi

10.1049/icp.2024.2555

Abstract

This paper presents a probabilistic forecasting approach tailored for low voltage (LV) substations, offering short-term predictions for three crucial variables: voltage, reactive power, and active power. These parameters play a vital role in the resilience of distribution systems, especially in the presence of Distributed Energy Resources (DERs).