o:28375 The influence of the input parameters variation of the non-seasonal ARIMAX model on the accuracy of meteorological parameters forecasting en Abstract: ARIMA (autoregressive integrated moving-average), one of the most popular models for time-series modeling, is recently frequently used for the needs of events forecasting and prediction in business, medicine, meteorology and engineering domains. In this paper, we present the results of testing the non-seasonal ARIMAX model for short-time forecasting of two meteorological parameters: wind speed and ambient temperature. For the needs of the forecasting accuracy comparison, we propose the use of the MAE (Mean Absolute Error). Various kinds of script files were made using R-Studio, the development environment for testing purposes. Analytical models , Temperature dependence , Wind speed , Predictive models , Telecommunications , Solar radiation , Forecasting 1552099 10.1109/TELFOR56187.2022.9983670 1552100 978-1-6654-7272-2 2023-03-24T11:33:14.624Z 44 yes 46 Anka Kabović Institut Mihajlo Pupin 0000-0002-9619-1387 Milenko Kabović Institut Mihajlo Pupin person 0000-0001-6542-681X Slavica Boštjančič Rakas Institut Mihajlo Pupin person 0000-0002-0551-3070 Valentina Timčenko Institut Mihajlo Pupin person 0000-0002-6667-2155 2022 https://phaidrabg.bg.ac.rs/o:28375 no yes 1 70 92000004 2022 11A20 2022 30th Telecommunications Forum (TELFOR) 1 4 2022