A power load forecasting method using cosine similarity and a graph convolutional network
To address the challenges of existing power load forecasting models， which struggle to deeply extract spatiotemporal correlation features and exhibit weak generalization capabilities—failing to simultaneously manage both short-term and long-term forecasting—this study proposes a multi-user power loa...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
zhejiang electric power
2025-01-01
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| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=8c8abcbf-8259-4108-ac39-48caede8c4ea |
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