Forecasting of Photovoltaic Power with ARO based AI approach-Reference-Cited by-同舟云学术

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Forecasting of Photovoltaic Power with ARO based AI approach

Published:2024-03-15 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
language:
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Author:

Nallur Mounika¹,Nalini B M²,Khan Zabiha³,Nayana S²,Achyutha Prasad N²,Manjula G⁴

Affiliation:

1. Murray State University,Masters in Computer Information Systems,USA

2. East West Institute of Technology,Department of Computer Science and Engineering,Bengaluru,India

3. Nitte Meenakshi Institute of Technology,Department of Artificial Intelligence and Machine Learning,Bengaluru,India

4. BGS College of Engineering and Technology,Department of CSE,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515307/10515308/10515620.pdf?arnumber=10515620

Reference19 articles.

1. Deep Learning Method With Manual Post-Processing for Identification of Spectral Patterns of Waveform Distortion in PV Installations

2. Deep learning strategies for automatic fault diagnosis in photovoltaic systems by thermographic images

3. A deep residual neural network identification method for uneven dust accumulation on photovoltaic (PV) panels

4. Visual fault detection in photovoltaic modules using decision tree algorithms with deep learning features

5. A city-scale estimation of rooftop solar photovoltaic potential based on deep learning

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