Інформаційна технологія аналізу та прогнозування стану атмосферного повітря міста Вінниці

Abstract

In the work, the information technology of analysis and forecasting of the state of atmospheric air in the city of Vinnytsia was developed based on machine learning methods. An overview of existing methods and technologies for data analysis and forecasting was conducted. Data forecasting was performed using three machine learning models: Prophet, LSTM, and ARIMA. The results were evaluated.