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A Hybrid Three-Staged, Short-Term Wind-Power Prediction Method Based on SDAE-SVR Deep Learning and BA Optimization.
Ruiqin Duan
Xiaosheng Peng
Cong Li
Zimin Yang
Yan Jiang
Xiufeng Li
Shuangquan Liu
Published in:
IEEE Access (2022)
Keyphrases
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short term
long term
deep learning
optimization algorithm
wind power
forecasting model
arima model
support vector machine svm
neural network
cross validation
power generation
load forecasting
bp neural network
unsupervised learning
supervised learning
support vector machine
feature selection