Delhi Air Pollution Prediction: A Comparative Analysis using Time Series Forecasting

Abstract

Recent years have seen a substantial increase in study on air pollution as a result of its negative ramifications It is also acknowledged as one in the current atmosphere. one of the main risk elements. Accurate air quality assessment is the first stage in the implementation of air pollution control systems, which helps in the growth of developed nations' economies and societies. the two methodical Accurate air quality predictions are essential for emissions control, public health, and wellbeing. The metropolis of India, Delhi, has been the most polluted metropolis in the world for the past two years. In this study, the results have been compared using SARIMAX, Prophet, and LSTM are three distinct machine learning algorithms that were tested against one another. The same quantity of parameter calibration was applied to all the models, and SARIMAX seems to be more reliable out of the three.