Short-Term Load Forecasting Based on Outlier Correction, Decomposition, and Ensemble Reinforcement Learning

Short-term load forecasting is critical to ensuring the safe and stable operation of the power system. To this end, this study proposes a load power prediction model that utilizes outlier correction, decomposition, and ensemble reinforcement learning. The novelty of this study is as follows: firstly...

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Detalles Bibliográficos

Principais autores:	Jiakang Wang, Hui Liu, Guangji Zheng, Ye Li, Shi Yin
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2023-05-01
Series:	Energies
Assuntos:	short-term load forecasting outlier correction decomposition ensemble reinforcement learning
Acceso en liña:	https://www.mdpi.com/1996-1073/16/11/4401
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