forecast_steps_SARIMA_PGE_daily <- length(df_test_PGE_daily) data_PGE_SARIMA_train_daily <- PGE_daily$daily_turnover[1:1162] data_PKN_SARIMA_train_daily_s <- PKN ...

Time–series data often exhibit recurring patterns such as weekly, monthly or yearly cycles. Capturing these seasonal patterns is important for generating accurate forecasts. A SARIMA model decomposes ...

Objective: This cross-sectional research aims to develop reliable predictive short-term prediction models to predict the number of RTIs in Northeast China through comparative studies. Methodology: ...