A Recent Invasion Wave Of Deep Learning In Solar Power Forecasting Techniques Using Ann-Reference-Cited by-同舟云学术

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A Recent Invasion Wave Of Deep Learning In Solar Power Forecasting Techniques Using Ann

Published:2021-11-16 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Future Energy Electronics Conference (IFEEC)
language:
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Author:

Nguyen Tuan-Anh,Pham Manh-Hai,Duong Trung-Kien,Vu Minh-Phap

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9661583/9661588/09661747.pdf?arnumber=9661747

Reference32 articles.

1. forecasting PV power using GRU,0

2. forecasting PV power using LSTM,0

3. forecasting PV power using ANN,0

4. Estimation of global solar radiation using artificial neural networks

5. A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy

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1. Analysis of variables to determine their influence on renewable energy forecasting using ensemble methods;Heliyon;2024-05

2. Deep Learning for the Analysis of Solar Radiation Prediction with Different Time Horizons and Data Acquisition Frequencies;Advances in Computational Intelligence;2023

3. Optimization of Solar Energy Using Artificial Neural Network Controller;2022 14th International Conference on Computational Intelligence and Communication Networks (CICN);2022-12-04

4. Optimization of Solar Energy Using Artificial Neural Network Controller;2022 14th International Conference on Computational Intelligence and Communication Networks (CICN);2022-12-04

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