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Air Quality Time Series Analysis by Paidapati Poojitha is a document available to read on EtoBox.

What is Air Quality Time Series Analysis about?

The document outlines a data analysis workflow for air quality data, focusing on PM2.5 and related meteorological variables. It includes steps for data preprocessing, feature selection, and model evaluation using a Vector Autoregression (VAR) model optimized with a Grey Wolf Optimizer (GWO). The optimal lag order found for the VAR model is 1, with a validation RMSE of approximately 0.2804.

Author

Paidapati Poojitha

Language

EN