Time Series Forecasting of Air Pollution using Deep Neural Network with Multi-output Learning
Author:
Affiliation:
1. NIT Rourkela,Department of CSE,Rourkela,India
2. IIITDM Kurnool,Department of CSE,Kurnool,India
3. NIT Rourkela,Department of ECE,Rourkela,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9691480/9691481/09691669.pdf?arnumber=9691669
Reference19 articles.
1. Daily urban air quality index forecasting based on variational mode decomposition, sample entropy and LSTM neural network
2. Multi-output TCN autoencoder for long-term pollution forecasting for multiple sites
3. Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation
4. Time Series based Air Pollution Forecasting using SARIMA and Prophet Model
5. Long term forecasting of ambient air quality using deep learning approach;samal;2020 IEEE 17th India Council International Conference (INDICON),2020
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