Load Forecasting Using BiLSTM with Quantile Granger Causality: Insights from Geographic–Climatic Coupling Mechanisms
In order to explore the correlation between meteorological factors and power load changes, as well as the role of these factors in load forecasting, a hybrid load forecasting modeling framework based on quantile Granger causality test and bidirectional long short-term memory (QGCT-BiLSTM) is propose...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2025-05-01
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| Col·lecció: | Applied Sciences |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2076-3417/15/11/5912 |
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