Photovoltaic Power Prediction Based on Fluctuation Feature Clustering and Graph Attention Mechanisms-Reference-Cited by-同舟云学术

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Photovoltaic Power Prediction Based on Fluctuation Feature Clustering and Graph Attention Mechanisms

Published:2023-12-08 Issue: Volume:39 Page:1707-1711
ISSN:
Container-title:2023 5th International Academic Exchange Conference on Science and Technology Innovation (IAECST)
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Author:

Ding Li¹,Wu Donghui¹,Zhang Cheng¹,Sui Jiayin¹,Ma Liang¹,Li Zhigang¹

Affiliation:

1. State Grid Digital Technology Holdings Co., Ltd., Dongcheng District,Beijing,China

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10502394/10502376/10502744.pdf?arnumber=10502744

Reference11 articles.

1. Optimal Planning of Islanded Integrated Energy System With Solar-Biogas Energy Supply

2. A Review on Microgrids’ Challenges & Perspectives

3. Active Power Control Model for Photovoltaic Power Plants Applicable to Whole-Process Dynamic Simulation [J];XH;Power System Technology,2015

4. A Multi-Timescale Regional Photovoltaic Power Prediction Method Based on Double-Layer Artificial Neural Networks [J];YY;Journal of North China Electric Power University (Natural Science Edition),2021

5. Photovoltaic Power Prediction Based on Improved Grey Wolf Algorithm Optimizing Long Short-Term Memory Networks [J];Xue;Journal of Solar Energy,2023

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