Multi-Step Short-Term Wind Power Prediction Model Based on CEEMD and Improved Snake Optimization Algorithm
Author:
Affiliation:
1. College of Science, Xi’an University of Science and Technology, Xi’an, China
Funder
National Social Science Fund of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10493009.pdf?arnumber=10493009
Reference59 articles.
1. A short-term wind power prediction model based on CEEMD and WOA-KELM
2. State-of-the-art one-stop handbook on wind forecasting technologies: An overview of classifications, methodologies, and analysis
3. A wind power forecasting model based on polynomial chaotic expansion and numerical weather prediction
4. Sequence transfer correction algorithm for numerical weather prediction wind speed and its application in a wind power forecasting system
5. Wind power ultra-short-term prediction method based on NWP wind speed correction and double clustering division of transitional weather process
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1. Ultra-Short-Term Wind Power Prediction Based on the ZS-DT-PatchTST Combined Model;Energies;2024-08-29
2. Forecasting a Short-Term Photovoltaic Power Model Based on Improved Snake Optimization, Convolutional Neural Network, and Bidirectional Long Short-Term Memory Network;Sensors;2024-06-16
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