Solar Energy Datasets of Deep Learning Models Incorporating with GK-2A and ASOS Ground Measurements

Solar Energy Datasets of Deep Learning Models Incorporating with GK-2A and ASOS Ground Measurements

This study presents the construction and evaluation of a dataset for estimating solar energy using the GK-2A satellite and deep learning. The GK-2A is currently utilized in real-time for weather observations over the Korean Peninsula. The GK-2A satellite features 16 channels, producing radiative cha...

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Bibliographic Details
Main Authors: Jong-Sung Ha, Seungtaek Jeong, Seyun Min, Yejin Lee, Suhwan Kim, Doehee Han, Jong-Min Yeom
Format: Article
Language:English
Published: GeoAI Data Society 2024-12-01
Series:Geo Data
Subjects:
solar radiation
gk-2a meteorological satellite
automated synoptic observing system ground observation
pyranometers
deep learning
Online Access:http://geodata.kr/upload/pdf/GD-2024-0036.pdf
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http://geodata.kr/upload/pdf/GD-2024-0036.pdf

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