Short-Term Load Forecasting Based on the CEEMDAN-Sample Entropy-BPNN-Transformer

Short-Term Load Forecasting Based on the CEEMDAN-Sample Entropy-BPNN-Transformer

Aiming at the problem that power load data are stochastic and that it is difficult to obtain accurate forecasting results by a single algorithm, in this paper, a combined forecasting method for short-term power load was proposed based on the Complete Ensemble Empirical Mode Decomposition with Adapti...

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Bibliographic Details
Main Authors: Shichao Huang, Jing Zhang, Yu He, Xiaofan Fu, Luqin Fan, Gang Yao, Yongjun Wen
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Energies
Subjects:
BPNN
CEEMDAN
load forecasting
sample entropy
transformer
Online Access:https://www.mdpi.com/1996-1073/15/10/3659

Internet

https://www.mdpi.com/1996-1073/15/10/3659

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