Short-Term Sun Coverage Prediction Using Cloud Movement Pattern Feature in PV System-Reference-Cited by-同舟云学术

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Short-Term Sun Coverage Prediction Using Cloud Movement Pattern Feature in PV System

Published:2024-05-27 Issue: Volume:2022 Page:1-6
ISSN:
Container-title:2024 21st International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
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Author:

Wai Zun Khet¹,Pichetjamroen Achara¹,Slavakis Konstantinos²,Rattanalerdnusorn Ekkachan³,Somakettarin N atthawuth⁴,Teerakawanich Nithiphat¹

Affiliation:

1. Kasetsart University,Department of Electrical Engineering,Pathumthani,Thailand

2. School of Engineering Tokyo Institute of Technology,Tokyo,Japan

3. Information Security Research Team National Electronics and Computer Technology Center,Pathumthani,Thailand

4. Rajamangala University of Technology,Department of Electrical Engineering,Thanyaburi,Patumthani,Thailand

Funder

National Research Council of Thailand (NRCT)

National Science and Technology Development Agency (NSTDA)

Tokyo Institute of Technology

Kasetsart University (KU)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10594802/10594778/10595027.pdf?arnumber=10595027

Reference14 articles.

1. Short term prediction of sun coverage using optical flow with GoogLeNet

2. Dual-Mode Operation of PV Power Converters for Flexible Power Tracking

3. Solar Position Identification on Sky Images for Photovoltaic Nowcasting applications

4. A method for detection of circular arcs based on the Hough transform

5. Cloud Detection on Ground-Based Sky Images with Brightness Reduction of Circumsolar Region

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