MFAGCN: A new framework for identifying power grid branch parameters
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference44 articles.
1. Transient-based fault identification algorithm using parametric models for meshed HVDC grids;Verrax;Electr. Power Syst. Res.,2020
2. Deep learning-based time-varying parameter identification for system-wide load modeling;Cui;IEEE Trans. Smart Grid,2019
3. Operational constrained nonlinear modeling and identification of active distribution networks;Conte;Electr. Power Syst. Res.,2019
4. Enhanced state estimation and bad data identification in active power distribution networks using photovoltaic power forecasting;Cheng;Electr. Power Syst. Res.,2019
5. Fault location in power distribution systems via deep graph convolutional networks;Chen;IEEE J. Sel. Areas Commun.,2019
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