A decomposition-based approximate entropy cooperation long short-term memory ensemble model for short-term load forecasting

Jiehui Huang; Chunquan Li; Zhengyu Huang; Peter Liu

doi:10.1007/s00202-021-01389-0

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A decomposition-based approximate entropy cooperation long short-term memory ensemble model for short-term load forecasting

Jiehui Huang Chunquan Li Zhengyu Huang Peter Liu

Year: 2021 Journal: Electrical Engineering Vol: 104 (3)Pages: 1515-1525 Publisher: Springer Science+Business Media

DOI: 10.1007/s00202-021-01389-0

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Keywords:

Computer science Entropy (arrow of time) Hilbert–Huang transform Predictive power Term (time) Robustness (evolution) Approximate entropy Algorithm Electric power system Long short term memory Sample entropy Volatility (finance) Series (stratigraphy) Time series Artificial intelligence Machine learning Power (physics) Mathematics White noise Econometrics

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Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Grey System Theory Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

A decomposition-based approximate entropy cooperation long short-term memory ensemble model for short-term load forecasting

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