Application of HHO-CNN-LSTM-based CMAQ correction model in air quality forecasting in Shanghai

ZHENG Xinnan; LIN Kaiyan; WANG Zijing; SONG Yuanbo; SHI Yang; LU Hanyue; ZHANG Yalei; SHEN Zheng

doi:10.20078/j.eep.20231107

Home>Articles>Application of HHO-CNN-LSTM-based CMAQ correction model in air quality forecasting in Shanghai

DOI: 10.20078/j.eep.20231107

Application of HHO-CNN-LSTM-based CMAQ correction model in air quality forecasting in Shanghai

ZHENG Xinnan

LIN Kaiyan

WANG Zijing

SONG Yuanbo

SHI Yang

LU Hanyue

ZHANG Yalei

SHEN Zheng

Keywords：Air quality predictionCMAQConvolutional neural network(CNN)Long-short-term memory neural network(LSTM)Harris hawks optimization algorithm(HHO)

Publication Date：2023-12-28

Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)

Pages：10( 101-110 )

Energy Environmental Protection

ISSN：2097-4183

Year, Vol.(Issue)：2023,37(6)