An intelligent framework for short-term multi-step wind speed forecasting based on Functional Networks
Sign Up to like & getrecommendations! Published in 2018 at "Applied Energy"
DOI: 10.1016/j.apenergy.2018.04.101
Abstract: Abstract This paper presents a novel method for the development of multi-step wind forecasting models based on functional network (FN), a modern intelligent paradigm. The basis of FN development is the integration of functional theory… read more here.
Keywords: functional networks; step; wind speed; step wind ... See more keywords
Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network
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DOI: 10.1016/j.renene.2018.10.043
Abstract: Abstract Precise and reliable wind-speed prediction is vital for wind-farm operational planning. However, wind speed series usually have complex features, such as non-linearity and volatility, which makes the wind energy forecasting highly difficult. Aimed at… read more here.
Keywords: speed; multi step; speed forecasting; step wind ... See more keywords
Multi‐step wind power forecast based on VMD‐LSTM
Sign Up to like & getrecommendations! Published in 2019 at "IET Renewable Power Generation"
DOI: 10.1049/iet-rpg.2018.5781
Abstract: To improve the accuracy of multi-step wind power forecast, a variational mode decomposition-long short-term memory (VMD-LSTM) forecast method is proposed. Firstly, the variational mode decomposition method is adopted to decompose the wind power data into… read more here.
Keywords: multi step; power forecast; power; step wind ... See more keywords