Ultra-short-term power load forecasting method based on stochastic configuration networks and empirical mode decomposition

Ultra-short-term power load forecasting method based on stochastic configuration networks and empirical mode decomposition

Ultra-short-term power load forecasting (USTPLF) can provide strong support and guarantee the decisions on unit start-up, shutdown, and power adjustment. The ultra-short-term power load (USTPL) has strong non-smoothness and nonlinearity, and the time-series characteristics of the load data themselve...

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Bibliographic Details
Main Authors: Xinfu Pang, Wei Sun, Haibo Li, Yihua Ma, Xiangbin Meng, Wei Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Energy Research
Subjects:
ultra-short-term power load forecasting
feature extraction
stochastic configuration networks
empirical mode decomposition
K-means clustering
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1182287/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2023.1182287/full

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