error921 / airpollution_deeplearning

Deep learning for prediction of air pollution trend in India

airpollution_deeplearning

Deep learning for prediction of air pollution trend for four monitoring stations in Delhi, India.

The experiments feature different deep learning models such as FNN and LSTM based models. The experiments also feature multivariate and univariate analysis using different training strategies with Bi-LSTM model (best) for multistep ahead prediction of PM2.5 values. The experiments further provide one month ahead forecast of PM2.5 values with uncertainty quantification.

Code

We have a unified code for all four stations with proper comments.

• The python notebook for implementation can be found here: Implement
• The python notebook for data visualization can be found here: Visualize

Data

The updated data used in experiments can be found here: DATA

Experiments

Sample results (30 runs) for different stations using different models and training strategies can be found here: results. The analysis and plots for different monitoring stations can be found here: plots