One-hour ahead wind speed forecasting using deep learning approach

Arif Özbek; Akın İlhan; Mehmet Bilgili; Beşi̇r Şahi̇n

doi:10.1007/s00477-022-02265-4

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One-hour ahead wind speed forecasting using deep learning approach

Arif Özbek Akın İlhan Mehmet Bilgili Beşi̇r Şahi̇n

Year: 2022 Journal: Stochastic Environmental Research and Risk Assessment Vol: 36 (12)Pages: 4311-4335 Publisher: Springer Science+Business Media

DOI: 10.1007/s00477-022-02265-4

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Keywords:

Adaptive neuro fuzzy inference system Artificial neural network Wind speed Computer science Wind power Mean squared error Mean absolute percentage error Artificial intelligence Pan evaporation Cluster analysis Machine learning Time series Fuzzy logic Inference Meteorology Statistics Fuzzy control system Mathematics Engineering

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Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Electric Power System Optimization

Physical Sciences → Engineering → Electrical and Electronic Engineering

Solar Radiation and Photovoltaics

Physical Sciences → Computer Science → Artificial Intelligence

One-hour ahead wind speed forecasting using deep learning approach

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