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Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19 · Study

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ArticleInterpretable tourism demand forecasting with temporal fusion transformers amid COVID-19

Binrong Wu2022

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Articlebronze2022

Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19

Binrong Wu · Lin Wang · Yu‐Rong Zeng

47 citations·0/0 files stored·Applied Intelligence

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Forecasting Techniques and Applications Diverse Aspects of Tourism Research Stock Market Forecasting Methods

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References

2014Beyond the hype: Big data concepts, methods, and analytics 2019The M4 Competition: 100,000 time series and 61 forecasting methods 2011Forecasting private consumption: survey-based indicators vs. Google trends 2019A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting 2019Tourism demand forecasting: A deep learning approach 2014Forecasting Chinese tourist volume with search engine data 2021Forecasting tourism recovery amid COVID-19 2016Forecasting tourism demand with composite search index

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Year2022

Typearticle

Published2022-10-27

VenueApplied Intelligence

ISSN-L0924-669X

Languageen

Citations47

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1007/s10489-022-04254-0

openalex_workW4307358455

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