Concepedia

Short-term wind speed predicting framework based on EEMD-GA-LSTM method under large scaled wind history

Yaoran Chen, Zhikun Dong, Yan Wang, Jie Su, Zhaolong Han, Dai Zhou, Kai Zhang, Yongsheng Zhao, Yan Bao

Energy Conversion and Management · 2020 · 182 citations · 43 references

Concepts

Natural SciencesData ScienceMeteorologyForecastingMachine LearningWeather ForecastingComputational Wind EngineeringEnsemble ForecastingShort-term ForecastingTime Series ForecastingWind ForecastingDeep Learning For Wind ForecastingMachine Learning For Wind ForecastingTime Series Forecasting For WindVery Short-term Wind ForecastingWindWind Speed ForecastingWind Speed Prediction

References

43

Long Short-Term Memory

Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997 · 98.1K citations

Computing, Computer Science, Algorithms +16

The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

Norden E. Huang, Steven Long, Man‐Li C. Wu et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 1998 · 23.3K citations · Full text

Computing, Computational Engineering, Biomedical Signal Processing +16

ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD

Zhaohua Wu, Norden E. Huang · Advances in Adaptive Data Analysis · 2008 · 8.6K citations

Computing, Data Science, Biomedical Signal Processing +15

Deep learning based ensemble approach for probabilistic wind power forecasting

Huaizhi Wang, Gangqiang Li, Guibin Wang et al. · Applied Energy · 2016 · 741 citations

Computing, Computational Engineering, Meteorology +16

The Wind Integration National Dataset (WIND) Toolkit

Caroline Draxl, Andrew Clifton, Bri‐Mathias Hodge et al. · Applied Energy · 2015 · 708 citations · Full text

Natural Sciences, Earth Sciences, Meteorology +10