Short-term load forecasting method based on secondary decomposition and improved hierarchical clustering

Short-term load forecasting method based on secondary decomposition and improved hierarchical clustering

In the context of large-scale grid connection of new energy, short-term load forecasting is a vital and challenging task for power system to balance supply and demand. To effectively improve the forecasting accuracy, a new load forecasting method is proposed aiming to mine the characteristics of loa...

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Bibliographic Details
Main Authors: Wenting Zha, Yongqiang Ji, Chen Liang
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Results in Engineering
Subjects:
Short-term load forecasting
STL
CEEMDAN
Hierarchical clustering
Sample entropy
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024002469

Internet

http://www.sciencedirect.com/science/article/pii/S2590123024002469

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