Multi-fidelity graph neural networks for efficient power flow analysis under high-dimensional demand and renewable generation uncertainty-Reference-Cited by-同舟云学术

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Multi-fidelity graph neural networks for efficient power flow analysis under high-dimensional demand and renewable generation uncertainty

Published:2024-12 Issue: Volume:237 Page:111014
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Taghizadeh Mehdi^ORCID,Khayambashi Kamiar^ORCID,Hasnat Md Abul^ORCID,Alemazkoor Negin^ORCID

Publisher

Elsevier BV

Reference57 articles.

1. Power System Analysis & Design, SI Version;Glover,2012

2. Review of load-flow calculation methods;Stott;Proc. IEEE,1974

3. A general-purpose version of the fast decoupled load flow;Van Amerongen;IEEE Trans. Power Syst.,1989

4. Power system flexibility: A review;Babatunde;Energy Rep.,2020

5. Bottom-up forecasting: Applications and limitations in load forecasting using smart-meter data;Anand;Data-Cent. Eng.,2023

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