SolaCam: A Deep Learning Model for Solar Radiation Estimation Using Consumer Cameras-Reference-Cited by-同舟云学术

SolaCam: A Deep Learning Model for Solar Radiation Estimation Using Consumer Cameras

Published:2023 Issue:0 Volume:19 Page:246-252
ISSN:1349-6476
Container-title:SOLA
language:en
Short-container-title:SOLA

Author:

Sugiyama Daisuke¹,Onishi Ryo²,Fudeyasu Hironori³

Affiliation:

1. Japan Agency for Marine-Earth Science and Technology

2. Tokyo Institute of Technology

3. Yokohama National University

Publisher

Meteorological Society of Japan

Subject

Atmospheric Science

Link

https://www.jstage.jst.go.jp/article/sola/19/0/19_2023-032/_pdf

Reference13 articles.

1. Chu, W. T., K. C. Ho, and A. Borji, 2018: Visual weather temperature prediction. 2018 IEEE Winter Conf. on Applications of Computer Vision (WACV), Lake Tahoe, NV, USA, 234-241, doi:10.1109/WACV.2018.00032.

2. Dosovitskiy, A., L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, T. Unterthiner, and X. Zhai, 2021: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale, ICLR2021 Oral, https://doi.org/10.48550/arXiv.2010.11929.

3. Efraimidis, P., and P. Spirakis, 2008. Weighted random sampling. Encyclopedia of Algorithms, M.-Y. Kao, Ed., Springer US, Boston, MA, 1024-1027, https://doi.org/10.1007/978-0-387-30162-4_478.

4. Howard, A., M. Sandler, G. Chu, L.-C. Chen, B. Chen, M. Tan, W. Wang, Y. Zhu, R. Pang, V. Vasudevan, Q. V. Le, and H. Adam, 2019: Searching for MobileNetV3. Proc. the IEEE/CVF International Conference on Computer Vision, 1314-1324.

5. Kingma, D. P., and Ba J. Adam, 2015: A method for stochastic optimization. Proc. the 3rd international conference on learning representations (ICLR2015), Hilton San Diego Resort & Spa, Sandiego.