2 Results Found

Advanced Search

Select all

Results per page

Select all

Technical Note

12 Citations

3,298 Views

13 Pages

A Novel Ground-Based Cloud Image Segmentation Method Based on a Multibranch Asymmetric Convolution Module and Attention Mechanism

Liwen Zhang,
Wenhao Wei,
Bo Qiu,
Ali Luo,
Mingru Zhang and
Xiaotong Li

Remote Sens.2022, 14(16), 3970;https://doi.org/10.3390/rs14163970

-

16 August 2022

Cloud segmentation is a fundamental step in accurately acquiring cloud cover. However, due to the nonrigid structures of clouds, traditional cloud segmentation methods perform worse than expected. In this paper, a novel deep convolutional neural netw...

Full Article

Article

25 Citations

2,956 Views

17 Pages

Deep Learning Neural Networks for Short-Term PV Power Forecasting via Sky Image Method

Wen-Chi Kuo,
Chiun-Hsun Chen,
Sih-Yu Chen and
Chi-Chuan Wang

Energies2022, 15(13), 4779;https://doi.org/10.3390/en15134779

-

29 June 2022

Solar photovoltaic (PV) power generation is prone to drastic changes due to cloud cover. The power is easily affected within a very short period of time. Thus, the accuracy of grasping cloud distribution is important for PV power forecasting. This st...

Full Article