Artificial Neural Network-Based Assessment of Two 20Kw PV Solar Energy Generation Plants in Homogeneous Environments-Reference-Cited by-同舟云学术

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Artificial Neural Network-Based Assessment of Two 20Kw PV Solar Energy Generation Plants in Homogeneous Environments

Published:2024-03-01 Issue: Volume:1 Page:1-6
ISSN:
Container-title:2024 3rd International Conference for Innovation in Technology (INOCON)
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Author:

Ghildiyal Shivangi¹,Mittal Amit²,G. C. Prashant³,Soni Mukesh⁴,Raparthi Mohan⁵,Bhat Niyati⁶

Affiliation:

1. Invertis University,Dept of Computer Applications,Bareilly

2. Graphic Era Hill University,Dept of Allied Sciences,Bhimtal

3. Texas Tech University,Department of Computer Science,Lubbock,USA,79409

4. Dr. D.Y. Patil Vidyapeeth, Pune,Dr. D.Y. Patil School of Science &Technology,Tathawade, Pune

5. Alphabet Life Science,Dallas,Texas,USA,75063

6. University of Mumbai,Computer Engineering,Mumbai,Maharashtra,400032

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511271/10511093/10511533.pdf?arnumber=10511533

Reference31 articles.

1. Maximizing the Power Output of Partially Shaded Photovoltaic Plants Through Optimization of the Interconnections Among Its Modules

2. Experimental study of factors affecting dust accumulation and their effects on the transmission coefficient of glass for solar applications

3. Get the most Power out of your Solar Electric Panels

4. An Optimization Method for Designing Large PV Plants

5. Study and Analysis of Shading Effects on Photovoltaic Application System;Iskandar

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