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Improving multi-step ahead tourism demand forecasting: A strategy-driven approach · Study

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ArticleImproving multi-step ahead tourism demand forecasting: A strategy-driven approach

Shaolong Sun2022

Article2022

Improving multi-step ahead tourism demand forecasting: A strategy-driven approach

Shaolong Sun · Zongjuan Du · Chengyuan Zhang · Shouyang Wang

26 citations·0/0 files stored·Expert Systems with Applications

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Forecasting Techniques and Applications Time Series Analysis and Forecasting Grey System Theory Applications

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References

1977Book Review: Time Series Analysis: Forecasting and Control 1995Comparing Predictive Accuracy 2012A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition 2019Tourism demand forecasting: A deep learning approach 2016Forecasting tourism demand with composite search index 2002Time series forecasts of international travel demand for Australia 2005Inbound international tourism to Canary Islands: a dynamic panel data model 1961Prediction by Exponentially Weighted Moving Averages and Related Methods

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2024Enhancing deep learning for demand forecasting to address large data gaps 2024Multi-step carbon emissions forecasting model for industrial process based on a new strategy and machine learning methods

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Details

Year2022

Typearticle

Published2022-08-09

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations26

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.eswa.2022.118465

openalex_workW4290794766

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