Search Results - subject:"SARIMA"

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Forecasting PM10 caused by Bangkok's Leading Greenhouse Gas emission using the SARIMA and SARIMA-GARCH model

Tanattrin Bunnag - In: International Journal of Energy Economics and Policy : IJEEP 14 (2024) 1, pp. 418-426

Persistent link: https://www.econbiz.de/10014492207

An innovative model for capturing seasonal patterns of train passenger movement using exogenous variables and fuzzy time series hybridization

Devianto, Dodi; Permana, Dony; Arif, Erman; Afrimayani, … - In: Journal of open innovation : technology, market, and … 10 (2024) 1, pp. 1-14

Autoregressive Integrated Moving Average (SARIMA) model to account for seasonal effects. Train passenger surges also align with the …, SARIMA was adapted to include exogenous effects in the form of calendar variations, producing Seasonal Autoregressive … operators might face. This innovation was introduced through hybrid SARIMA-FTSMC and hybrid SARIMAX-FTSMC. The results showed …

Persistent link: https://www.econbiz.de/10014518897

Improved tourism demand forecasting with CIR# model : a case study of disrupted data patterns in Italy

Bufalo, Michele; Orlando, Giuseppe - In: Tourism review 79 (2024) 2, pp. 445-464

Persistent link: https://www.econbiz.de/10014512279

Forecasting of electricity consumption by seasonal autoregressive integrated moving average model in Assam, India

Mahanta, Nibedita; Talukdar, Ruma - In: International Journal of Energy Economics and Policy : IJEEP 14 (2024) 5, pp. 393-400

Persistent link: https://www.econbiz.de/10015116846

Effectiveness of ATM withdrawal forecasting methods under different market conditions

Suder, Marcin; Gurgul, Henryk; Barbosa, Belem; Machno, Artur - In: Technological forecasting and social change : an … 200 (2024), pp. 1-16

Persistent link: https://www.econbiz.de/10015121196

Hybridising Neurofuzzy Model the Seasonal Autoregressive Models for Electricity Price Forecasting on Germany's Spot Market

Paraschiv, Dorel Mihai; Balasoiu, Narciz; Ben-Amor, Souhir - In: Amfiteatru Economic 25 (2023) 63, pp. 463-478

-Regressive Integrated Moving Average (SARIMA) and the NeuroFuzzy-Local Linear Wavelet Neural Network (LLWNN). Although a series of complex …

Persistent link: https://www.econbiz.de/10014463423

Using trigonometric seasonal models in forecasting the size of withdrawals from automated teller machines

Gurgul, Henryk; Lach, Łukasz; Suder, Marcin; Szpyt, Karol - In: Entrepreneurial business and economics review : EBER 11 (2023) 3, pp. 181-204

withdrawals from ATMs. In practice, the SARIMA model is widely used as a forecasting tool. However, the major limitation of SARIMA … the SARIMA model with the TBATS model, both in basic forms and forms extended with event-specific dummies. Research Design … & Methods: Empirical research was conducted by means of fitting SARIMA and TBATS models to daily time series of withdrawals from …

Persistent link: https://www.econbiz.de/10014429270

Forecasting the total non-coincidental monthly system peak demand in the Philippines : a comparison of seasonal autoregressive integrated moving average models and artificial neural networks

Parreno, Samuel John - In: International Journal of Energy Economics and Policy : IJEEP 13 (2023) 5, pp. 544-552

Persistent link: https://www.econbiz.de/10014384462

Application of Sarima model in load forecasting in Hanoi city

Duong Trung Kien; Phan Dieu Huong; Nguyen Dat Minh - In: International Journal of Energy Economics and Policy : IJEEP 13 (2023) 3, pp. 164-170

Persistent link: https://www.econbiz.de/10014366748

Fertility response to the COVID-19 Pandemic in developed countries – on pre-pandemic fertility forecasts

Deschermeier, Philipp; Greil, Arthur L.; Vanella, Patrizio - In: Comparative population studies : CPoS ; open acess … 48 (2023), pp. 19-46

The COVID-19 pandemic has affected all areas of our lives. Among other outcomes, the academic literature and popular media both discuss the potential effects of the pandemic on fertility. As fertility is an important determinant of population development and population forecasts are important...

Persistent link: https://www.econbiz.de/10014502844