3 papers
eess.SY2025
Distributed Reinforcement Learning using Local Smart Meter Data for Voltage Regulation in Distribution Networks
Dong Liu, Juan S. Giraldo, Peter Palensky +1
Centralised reinforcement learning (RL) for voltage magnitude regulation in distribution networks typically involves numerous agent-environment interactions and power flow (PF) cal…
eess.SY2025
Model-Free Privacy Preserving Power Flow Analysis in Distribution Networks
Dong Liu, Juan S. Giraldo, Peter Palensky +1
Model-free power flow calculation, driven by the rise of smart meter (SM) data and the lack of network topology, often relies on artificial intelligence neural networks (ANNs). How…
eess.SY2024
Lower Dimensional Spherical Representation of Medium Voltage Load Profiles for Visualization, Outlier Detection, and Generative Modelling
Edgar Mauricio Salazar Duque, Bart van der Holst, Pedro P. Vergara +5
This paper presents the spherical lower dimensional representation for daily medium voltage load profiles, based on principal component analysis. The objective is to unify and simp…