Characterization and modeling of a grid-connected photovoltaic system using a Recurrent Neural Network-Reference-Cited by-同舟云学术

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Characterization and modeling of a grid-connected photovoltaic system using a Recurrent Neural Network

Published:2011-07 Issue: Volume: Page:
ISSN:
Container-title:The 2011 International Joint Conference on Neural Networks
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Author:

Riley Daniel M.,Venayagamoorthy Ganesh K.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6022827/6033131/06033437.pdf?arnumber=6033437

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data-Driven Digital Twins for Power Estimations of a Solar Photovoltaic Plant;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

2. Equivalent Model of Photovoltaic System Dynamics Using Neural Network;2023 IEEE Industry Applications Society Annual Meeting (IAS);2023-10-29

3. Short-Term Prediction of Solar Photovoltaic Power Generation Using a Digital Twin;2023 North American Power Symposium (NAPS);2023-10-15

4. Elman Neural Network Soft-Sensor Model of PVC Polymerization Process Optimized by Chaos Beetle Antennae Search Algorithm;IEEE Sensors Journal;2020

5. A generic transient PV system model for power quality studies;Renewable Energy;2016-04

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