Ultra-Short-Term wind Power Prediction Method Based on CEEMDAN and ISSA-BiLSTM
Author:
Affiliation:
1. Liaoning Engineering and Technical University, Electrical and control engineering school,Xingcheng, Huludao City,Liaoning Province,China
2. State Grid Tianjin Electric Power Company,Tianjin City,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9862525/9862601/09862726.pdf?arnumber=9862726
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2. Financial time series forecasting model based on CEEMDAN and LSTM[J];cao;Physica A Statistical Mechanics and its Applications,2018
3. Reducing Exchange Rate Risks in International Trade: A Hybrid Forecasting Approach of CEEMDAN and Multilayer LSTM
4. Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
5. Marine Predators Algorithm: A nature-inspired metaheuristic
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