Periodformer: An Energy Consumption Prediction Model Based on Decomposition of Time Series
In recent years, deep learning technology has demonstrated remarkable potential across various prediction tasks. However, existing deep learning models still fall short in fully exploiting the periodicity, trends, and residual characteristics inherent in energy consumption data. To address these def...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2025-06-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2025.03.007 |
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