A Model Combining Stacked Auto Encoder and Back Propagation Algorithm for Short-Term Wind Power Forecasting

Recently, many countries have spent great efforts on wind power generation. Although there have been many methods in the field of wind power forecasting, the persistence statistics model based on historical data is still being challenged due to the randomness and uncontrollability in wind power. Hen...

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Vydané v:	IEEE access Ročník 6; s. 17851 - 17858
Hlavní autori:	Jiao, Runhai, Huang, Xujian, Ma, Xuehai, Han, Liye, Tian, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.01.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Back propagation Back propagation networks Coders Computer architecture Electric power generation Feature extraction Forecasting Machine learning Mathematical models Neural networks Neurons Particle swarm optimization Predictive models stacked auto-encoders Support vector machines Training Wavelet analysis wind energy Wind power wind power forecasting Wind power generation
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
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