A Novel Hybrid Model Based on Deep Learning and Autoregressive for Air Quality Prediction
Author:
Affiliation:
1. School of Software Engineering, East China Normal University,Shanghai,China
Funder
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191748.pdf?arnumber=10191748
Reference22 articles.
1. The Performance of LSTM and BiLSTM in Forecasting Time Series
2. Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
3. Forecasting air quality index using regression models: A case study on Delhi and Houston
4. Comparing the Performance of Statistical Models for Predicting PM10 Concentrations
5. A Hybrid CNN-LSTM Model for Forecasting Particulate Matter (PM2.5)
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