About
Contact & Profiles
A5087725700
Research Areas
- Stock Market Forecasting Methods
- Energy Load and Power Forecasting
- Time Series Analysis and Forecasting
Wuhan Textile University
2019
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 based on Recurrent Neural Network (RNN) Convolutional (CNN) proposed. improve the accuracy minimize dependence aperiodic data, this article, Beijing...
10.3390/electronics8080876
article
EN
Electronics
2019-08-07
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