Deep Learning Applied to the Measurement and Verification of Photovoltaic Projects-Reference-Cited by-同舟云学术

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Deep Learning Applied to the Measurement and Verification of Photovoltaic Projects

Published:2023-11-22 Issue: Volume:12 Page:1045-1050
ISSN:
Container-title:2023 15th IEEE International Conference on Industry Applications (INDUSCON)
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Author:

Melo Denise Sanches¹,Barbosa Luan Almeida²,De Oliveira Leonardo Willer³,De Oliveira Janaína Gonçalves³,De Oliveira Ângelo Rocha⁴,Gomes Ricardo Oliveira²

Affiliation:

1. Deode Inovação e Eficiência em Energia Ltda,Engineering Department,Juiz de Fora,Brazil

2. Deode Inovação e Eficiência em Energia Ltda,Research, Development, and Innovation Department,Juiz de Fora,Brazil

3. Federal University of Juiz de Fora,Electrical Energy Department,Juiz de Fora,Brazil

4. CEFET-MG Leopoldina Campus,Electroelectronics Department,Leopoldina,Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10374478/10374482/10374914.pdf?arnumber=10374914

Reference26 articles.

1. Deep Learning Application in Power System with a Case Study on Solar Irradiation Forecasting

2. Performance Analysis of Neural Network Training Algorithms and Support Vector Machine for Power Generation Forecast of Photovoltaic Panel

3. A support vector machine–firefly algorithm-based model for global solar radiation prediction

4. Applications of deep learning techniques on NILM;Do Nascimento;Universidade Federal do Rio de Janeiro,2016

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