电子器件2024，Vol.47Issue(1)：134-139,6.DOI:10.3969/j.issn.1005-9490.2024.01.023
结合气象监测与地基云图的地表太阳辐射预测
Surficial Solar Irradiation Prediction Based on Meteorological Monitoring Combined with Ground-Based Cloud Images
摘要
Abstract
PV output power forecasting is based on high accuracy solar irradiation prediction.Cloud shielding is the primary reason lead-ing to solar irradiation fluctuation.Aiming to solve the problem of prediction accuracy descending in complicated climate conditions due to the insufficient ability of extracting temporal variation feature of Ground-Based Cloud image in related works,a novel solar irradiation prediction method is presented.3D CNN is used to extract features in single GBC image and temporal variation features in GBC image series at the same time and the relationship between GBC image feature and solar irradiance attenuation by cloud is established.The evaluation results of experiments show that,in complicated climate conditions,the RMSE of 5 minutes ahead prediction is improved by 8%for the proposed method compared with existing works.The proposed method has high promotion value.关键词
地基云图/特征提取/3D卷积神经网络/太阳辐射衰减/光伏功率预测Key words
ground-based cloud image/feature extraction/3D CNN/solar irradiance attenuation/PV output power prediction分类
信息技术与安全科学引用本文复制引用
郁云,王一海,曹潇..结合气象监测与地基云图的地表太阳辐射预测[J].电子器件,2024,47(1):134-139,6.基金项目
南京信息职业技术学院校青蓝工程优秀骨干教师培养对象项目(2020XGG10) （2020XGG10）
