Short-Term Offshore Wind Power Prediction based on VMD-SE-BP Neural Network Model
Author:
Affiliation:
1. Guangxi Power Grid Co., Ltd.,Nanning,China
2. Central Southern China Electric Power Design Institute Co., Ltd.,Wuhan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10601630/10601669/10602324.pdf?arnumber=10602324
Reference18 articles.
1. Forecasting solar energy production: A comparative study of machine learning algorithms
2. State-of-the-art one-stop handbook on wind forecasting technologies: An overview of classifications, methodologies, and analysis
3. Spatiotemporal wind power forecasting approach based on multi-factor extraction method and an indirect strategy
4. An intelligent hybrid method based on Monte Carlo simulation for short-term probabilistic wind power prediction
5. Short-term wind power prediction based on modal reconstruction and CNN-BiLSTM
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