Daily Load Forecasting Based on a Combination of Classification and Regression Tree and Deep Belief Network

The next-day load forecasting is complex due to the load pattern variations driven by external factors, such as weather and time. This study proposes a hybrid model that incorporates the Classification and Regression Tree (CART) with pruning conditions and a Deep Belief Network (DBN) to improve fore...

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Detalles Bibliográficos
Autores principales: Pyae Pyae Phyo, Chawalit Jeenanunta
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/8b0ff91b3ffb46669facc8a72795cf27
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