Ultra-short-term Radiation Prediction based on FY-4 Satellite Cloud Images and Artificial Neural Network
Surface solar radiation is affected by many random mutation factors, which makes the ultra-short-term prediction face great challenges. In this paper, the surface radiation observation station in the northwest (Dunhuang) desert area with broad PV prospects is selected as the research object. The inp...
Main Authors: | Jia Dongyu, Nie Xiaoying, Gao Fuyuan, Li Qingfeng |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2021-01-01
|
Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/69/e3sconf_gceece2021_03017.pdf |
Similar Items
-
DECISION TREE CLOUD DETECTION ALGORITHM BASED ON FY-4A SATELLITE DATA
by: Z. F. Yu, et al.
Published: (2019-10-01) -
Cloud Detection for FY Meteorology Satellite Based on Ensemble Thresholds and Random Forests Approach
by: Hualian Fu, et al.
Published: (2018-12-01) -
An Improved Cloud Classification Algorithm for China’s FY-2C Multi-Channel Images Using Artificial Neural Network
by: Chun-Xiang Shi, et al.
Published: (2009-07-01) -
FY-4A SATELLITE BASED CLOUD MICROPHYSICAL VARIATION ANALYSIS OF AIRBORNE CLOUD SEEDING OPERATIONS IN SICHUAN BASIN
by: D. Lin, et al.
Published: (2019-10-01) -
Automatic Tracking and Characterization of Cumulonimbus Clouds from FY-2C Geostationary Meteorological Satellite Images
by: Yu Liu, et al.
Published: (2014-01-01)