Forecasting Generating Power of Sun Tracking PV Plant using Long-Short Term Memory Neural Network Model: A case study in Ninh Thuan

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Forecasting Generating Power of Sun Tracking PV Plant using Long-Short Term Memory Neural Network Model: A case study in Ninh Thuan - Vietnam

Published:2024-07-31 Issue: Volume: Page:333-338
ISSN:
Container-title:2024 Tenth International Conference on Communications and Electronics (ICCE)
language:
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Author:

Nguyen Binh Nam¹,Ogliari Emanuele¹,Pafumi Emilio²,Alberti Davide²,Leva Sonia¹,Duong Minh Quan³

Affiliation:

1. Politecnico di Milano,Electrical Engineering,Department of Energy,Milan,Italy

2. R&D – Progetti Filiera Sustainable Mobility,A2A S.p.A Digital and Innovation,Brescia,25124

3. The University of Danang University of Science and Technology,Faculty of Electrical Engineering,Danang,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10634322/10634595/10634629.pdf?arnumber=10634629

Reference12 articles.

1. Machine Learning techniques for solar irradiation nowcasting: Cloud type classification forecast through satellite data and imagery

2. A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions

3. Solar irradiance forecasting in the tropics using numerical weather prediction and statistical learning

4. Enhanced Convolutional Neural Network for solar radiation nowcasting: All-Sky camera infrared images embedded with exogeneous parameters

5. Solar Photovoltaic Power Forecasting: A Review

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