A Review of Deep Learning Models for Time Series Prediction

• Published in: IEEE sensors journal Vol. 21; no. 6; pp. 7833 - 7848
• Main Authors: Han, Zhongyang, Zhao, Jun, Leung, Henry, Ma, King Fai, Wang, Wei
• Format: Journal Article
• Language: English
• Published: New York IEEE 15.03.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial neural networks; Biological system modeling; Data models; Deep learning; discriminative models; Feature extraction; Feature recognition; generative models; Prediction models; Predictions; Predictive models; Review; State-of-the-art reviews; Support vector machines; Time series; Time series analysis; time series prediction

In order to approximate the underlying process of temporal data, time series prediction has been a hot research topic for decades. Developing predictive models plays an important role in interpreting complex real-world elements. With the sharp increase in the quantity and dimensionality of data, new...