A Frequency Decomposition-Based Hybrid Forecasting Algorithm for Short-Term Reactive Power

A Frequency Decomposition-Based Hybrid Forecasting Algorithm for Short-Term Reactive Power

This paper proposes a new frequency decomposition-based hybrid reactive power forecasting algorithm, EEMD-LSTM-RFR (ELR), which adopts a strategy of frequency decomposition prediction after ensemble empirical mode decomposition and then data reconstruction to improve the prediction ability of reacti...

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Bibliographic Details
Main Authors: Jiabao Du, Changxi Yue, Ying Shi, Jicheng Yu, Fan Sun, Changjun Xie, Tao Su
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Energies
Subjects:
reactive power
forecasting algorithm
ensemble empirical mode decomposition
long short-term memory
random forest regression
Online Access:https://www.mdpi.com/1996-1073/14/20/6606

Internet

https://www.mdpi.com/1996-1073/14/20/6606

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