Open AccessHybrid model for forecasting space-time data with calendar variation effects
Author(s) -
Suhartono Suhartono,
I Made Gde Meranggi Dana,
Santi Puteri Rahayu
Publication year - 2019
Publication title -
telkomnika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.258
H-Index - 23
eISSN - 2302-9293
pISSN - 1693-6930
DOI - 10.12928/telkomnika.v17i1.10096
Subject(s) - autoregressive model , inflow , computer science , variation (astronomy) , time series , outflow , artificial neural network , nonlinear system , econometrics , seasonality , mathematics , artificial intelligence , meteorology , machine learning , geography , physics , quantum mechanics , astrophysics