Improvement of Long Short-Term Memory via CEEMDAN and Logistic Maps for the Power Consumption Forecasting
Author:
Affiliation:
1. Faculty of Engineering Khon Kaen University,Department of Electrical Engineering,Khon Kaen,Thailand
Funder
Khon Kaen University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10146108/10146127/10146172.pdf?arnumber=10146172
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3. GitHub - TAN-OpenLab/logistic-ELM: A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping;tan;Github,2021
4. Logistic Map;nino;Essentials of Mathematica,2007
5. Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks
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