Distributed Photovoltaic Power Prediction Based on Spatio-Temporal Diffusion Graph Convolution with Dynamic Graph Networks-Reference-Cited by-同舟云学术

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Distributed Photovoltaic Power Prediction Based on Spatio-Temporal Diffusion Graph Convolution with Dynamic Graph Networks

Published:2024-06-05 Issue: Volume:42 Page:1-7
ISSN:
Container-title:2024 10th International Conference on Power Electronics Systems and Applications (PESA)
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Author:

Peijie Liu¹,Shuiqiang Zou¹,Huanhuan Ye¹,Wensi Lai¹,Simiao Yu²,Chunyu Tao¹,Chunhui Dong³

Affiliation:

1. Guangdong Power Grid Corporation Limited,Heyuan Power Supply Bureau,Heyuan,China

2. School of Automation, South China University of Technology,Guangzhou,China

3. School of Electric Power, South China University of Technology,Guangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10594801/10594781/10594894.pdf?arnumber=10594894

Reference13 articles.

1. Research on power quality control method considering distributed photovoltaic grid connection;Weifeng;Power Capacitor & Reactive Power Compensation,2021

2. Calculation method of power generation forecast of distributed PV power station based on design information;Hongji;Acta Energiae Solaris Sinica,2021

3. Generative adversarial nets;Goodfellow,2014

4. Time Series Data Coupling Enhancement Method of Distributed Photovoltaic Cluster Based on Bidirectional Recurrent Imputation Network;Liao;Power System Technology,2023

5. Reconstruction of missing distribution network measurement data based on generative adversarial and dual semantic sensing;Yang;Automation of Electric Power Systems,2022

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