STL-ATTLSTM: Vegetable Price Forecasting Using STL and Attention Mechanism-Based LSTM
STL-ATTLSTM: Vegetable Price Forecasting Using STL and Attention Mechanism-Based LSTM
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Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
It is difficult to forecast vegetable prices because they are affected by numerous factors, such as weather and crop production, and the time-series data have strong non-linear and non-stationary characteristics. To address these issues, we propose the STL-ATTLSTM (STL-Attention-based LSTM) model, which integrates the seasonal trend decomposition u...
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Full title
STL-ATTLSTM: Vegetable Price Forecasting Using STL and Attention Mechanism-Based LSTM
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TN_cdi_doaj_primary_oai_doaj_org_article_832d712965ab4b6082d30b071c70030d
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_832d712965ab4b6082d30b071c70030d
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ISSN
2077-0472
E-ISSN
2077-0472
DOI
10.3390/agriculture10120612
