Spatio-Temporal Deep Learning-Based Forecasting of Surface Solar Irradiance: Leveraging Satellite Data and Feature Selection
This paper proposes a method for forecasting surface solar irradiance (SSI), the most critical factor in solar photovoltaic (PV) power generation. The proposed method uses 16-channel data obtained by the GEO-KOMPSAT-2A (GK2A) satellite of South Korea as the main data for SSI forecasting. To determin...
| Main Authors: | , , , , , |
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| 格式: | 文件 |
| 语言: | English |
| 出版: |
MDPI AG
2024-03-01
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| 丛编: | Remote Sensing |
| 主题: | |
| 在线阅读: | https://www.mdpi.com/2072-4292/16/5/888 |