Research on Photovoltaic Power Prediction Method for Power Grid Safety-Reference-Cited by-同舟云学术

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Research on Photovoltaic Power Prediction Method for Power Grid Safety

Published:2023-04-14 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)
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Author:

Guo Mingkang¹,Ji Wenxuan²,Gu Bingling³,Li Peiyuan³,Tian Lin³

Affiliation:

1. Information & Communication Company of State Grid Gansu Electric Power Company,Dept. Digital Business Division,Lanzhou,China

2. Lanzhou University of Technology,Dept. School of Computer & Communication,Lanzhou,China

3. SGTI-UNI Cloud Data Technology Co., Ltd.,Dept. Engineering O&M Department,Lanzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10142229/10142257/10142818.pdf?arnumber=10142818

Reference9 articles.

1. SSA-LSTM: Short-Term Photovoltaic Power Prediction Based on Feature Matching[J];zhengwei;Energies,2022

2. Photovoltaic Power Prediction Based on VMD-BRNN-TSP

3. Solar radiation forecasting in the short- and medium-term under all sky conditions

4. Forecasting of Energy Production for Photovoltaic Systems Based on ARIMA and ANN Advanced Models[J];laurentiu;International Journal of Photoenergy 2021,2021

5. a least square sup port vector machine approach based on bvRNA-GA for modeling photo voltaic systems[J];xiu;Applied Soft Computing Journal,0

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