Hierarchical Time Series Forecasting Based on Temporal Convolution and Attention Mechanism

Hao Wang; Zhenguo Zhang

doi:10.1007/978-981-99-7869-4_32

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Hierarchical Time Series Forecasting Based on Temporal Convolution and Attention Mechanism

Hao Wang Zhenguo Zhang

Year: 2023 Communications in computer and information science Pages: 403-410 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-7869-4_32

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Keywords:

Computer science Series (stratigraphy) Consistency (knowledge bases) Time series Convolution (computer science) Data mining Hierarchical database model Mechanism (biology) Artificial intelligence Machine learning Artificial neural network

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Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Hierarchical Time Series Forecasting Based on Temporal Convolution and Attention Mechanism

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