Multivariate Temporal Convolutional Network: A Deep Neural Networks Approach for Multivariate Time S...
Multivariate Temporal Convolutional Network: A Deep Neural Networks Approach for Multivariate Time Series Forecasting
About this item
Full title
Author / Creator
Wan, Renzhuo , Mei, Shuping , Wang, Jun , Liu, Min and Yang, Fan
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Multivariable time series prediction has been widely studied in power energy, aerology, meteorology, finance, transportation, etc. Traditional modeling methods have complex patterns and are inefficient to capture long-term multivariate dependencies of data for desired forecasting accuracy. To address such concerns, various deep learning models base...
Alternative Titles
Full title
Multivariate Temporal Convolutional Network: A Deep Neural Networks Approach for Multivariate Time Series Forecasting
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2548382543
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2548382543
Other Identifiers
ISSN
2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics8080876
