A Feature Importance Analysis Based Solar Irradiance Mapping Model Using Multi-channel Satellite Remote Sensing Data

Author:

Su Ying1,Li Na2,Yang Heng1,Wang Fei2,Sun Changping1,Zhen Zhao2,Zou Zubing1,Ge Xinxin2

Affiliation:

1. China Three Gorges Corporation,Institute of Science and Technology,Beijing 100038,China

2. North China Electric Power University,Department of Electrical Engineering,Baoding 071003,China

Funder

China Three Gorges Corporation

National Natural Science Foundation of China

Publisher

IEEE

Cited by 4 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. Predicting Solar and Wind Power Production with the Weather Map Data Approach;2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT);2024-07-04

2. A Review and Evaluation of the State of Art in Image-Based Solar Energy Forecasting: The Methodology and Technology Used;Applied Sciences;2024-06-27

3. Application of Deep Learning to the Prediction of Solar Irradiance through Missing Data;International Journal of Photoenergy;2023-09-22

4. MF-ANN: A Novel Artificial Neural Network-Based Method for Ocean Wind Speed Retrieval on Spaceborne GNSS-R Signal;IEEE Transactions on Geoscience and Remote Sensing;2023

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