Short-term load forecasting based on EEMD-Adaboost-BP

Short-term load forecasting based on EEMD-Adaboost-BP

In order to realize short-time load forecasting, an Adaboost-BP method with a weight update mechanism is proposed based on ensemble learning theory. Firstly, the original historical load power is decomposed into a set of sub-series with diverse characteristics via using ensemble empirical mode decom...

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Bibliographic Details
Main Authors: Wenshuai Lin, Bin Zhang, Hongyi Li, Renquan Lu
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Systems Science & Control Engineering
Subjects:
Load forecasting
ensemble empirical mode decomposition
Adaboost-BP
BP neural network
Online Access:https://www.tandfonline.com/doi/10.1080/21642583.2022.2110539

Internet

https://www.tandfonline.com/doi/10.1080/21642583.2022.2110539

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