SFCL: Electricity Consumption Forecasting of CNN-LSTM Based on Similar Filter
Author:
Affiliation:
1. Shanghai Dianji University,School of Electronics and Information,Shanghai,China
Funder
National Science Foundation
Natural Science Foundation of Shanghai
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10054511/10054645/10054902.pdf?arnumber=10054902
Reference27 articles.
1. Ending balance forecasting method based on fbprophet framework;menghai;E-Science Technology & Application,2019
2. Short-Term Electricity Consumption Forecasting Based on the EMD-Fbprophet-LSTM Method
3. Long Short-Term Memory
4. Working Memory Connections for LSTM
5. Mean-optimized mode decomposition: An improved EMD approach for non-stationary signal processing
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