Neural Network – based Sensitivity Analysis of the Factors affecting the Solar Photovoltaic Power Output-Reference-Cited by-同舟云学术

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Neural Network – based Sensitivity Analysis of the Factors affecting the Solar Photovoltaic Power Output

Published:2023-06-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)
language:
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Author:

Velasco Jordan N.¹,Trinidad Roel D.²,Ramos Ronnie Z.³,De Jesus Kevin Lawrence M.⁴

Affiliation:

1. College of Engineering Pamantasan ng Lungsod ng Valenzuela,Valenzuela City,Philippines

2. Graduate School Nueva Ecija University of Science and Technology,Cabanatuan City,Nueva Ecija

3. Graduate School Nueva Ecija University of Science and Technology,Mariveles,Bataan

4. College of Engineering FEU Institute of Technology,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10192572/10192579/10193378.pdf?arnumber=10193378

Reference30 articles.

1. Predicting solar energy generation through artificial neural networks using weather forecasts for microgrid control

2. Wind energy prediction using a two-hidden layer neural network

3. Artificial neural networks for the generation of geothermal maps of ground temperature at various depths by considering land configuration

4. A fuzzy nearest neighbor neural network statistical model for predicting demand for natural gas and energy cost savings in public buildings

5. Relative importance of parameters affecting wind speed prediction using artificial neural networks

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