GRO-Bagging Day-Ahead Power Curve Forecasting Model Based on Multi-Cycle Feature Extraction

GRO-Bagging Day-Ahead Power Curve Forecasting Model Based on Multi-Cycle Feature Extraction

Power loads usually have multiple cycles, and the traditional forecasting methods only use the historical loads under various types of cycles together as input features to construct the forecasting model, ignoring the deep features under multiple cycles. The simultaneous inputs will lead to the cycl...

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Bibliographic Details
Main Authors: Yaoxian Liu, Kaixin Zhang, Songsong Chen, Ying Zhou, Jingwen Chen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Bagging
integrated learning
LSTM
multi-periodic features
short-term load forecasting
gold rush optimization algorithm
Online Access:https://ieeexplore.ieee.org/document/10599262/

Internet

https://ieeexplore.ieee.org/document/10599262/

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