Hourly forecast of global irradiation using GMS satellite images-Reference-Cited by-同舟云学术

Hourly forecast of global irradiation using GMS satellite images

Published:2001-03 Issue:1-4 Volume:67 Page:551-557
ISSN:0927-0248
Container-title:Solar Energy Materials and Solar Cells
language:en
Short-container-title:Solar Energy Materials and Solar Cells

Author:

Taniguchi Hironari,Otani Kenji,Kurokawa Kosuke

Publisher

Elsevier BV

Subject

Surfaces, Coatings and Films,Renewable Energy, Sustainability and the Environment,Electronic, Optical and Magnetic Materials

Reference4 articles.

1. Solar irradiance estimation from geostationary satellite data: I. Statistical models

2. K. Otani, T. Saitoh, I. Tsuda, K. Kurokawa, Solar energy mapping by using cloud images received from GMS, Proceedings of the First World Conference on Photovoltaic Energy Conversion, WCPEC, 1994.

3. K. Otani, K. Kurokawa, I. Tsuda, T. Saitoh, T. Horigome, Sol. Energy Mater. Sol. Cells (1994) 34.

4. K. Kurokawa , K. Otani, Statistical formation of solar energy map by cloud images received from GMS, Pacific Ocean Remote Sensing Conference, PORSEC ‘94, 1994.

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid solar irradiance nowcasting and forecasting with the SCOPE method and convolutional neural networks;Renewable Energy;2024-10

2. Cloud Distribution Forecasting Model Using Ground Altitude Information and CNN;Lecture Notes in Electrical Engineering;2023-10-31

3. The Cloud Radiation Forcing Prediction Based on Textural Feature Extraction from Cloud Image;2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC);2022-04-14

4. Detection of sea-breeze inland penetration in the coastal-urban region using geostationary satellite images;Urban Climate;2020-03

5. Preliminary Analysis of Short-term Solar Irradiance Forecasting by using Total-sky Imager and Convolutional Neural Network;2019 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia);2019-03