Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network

By Hui Liu, Mi Xiwei, Yan-fei Li. 2018

417 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/586adcb189d98c52cda7fd63669a2a08256b3f6a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Henry Leung
2. Jun Zhao
3. King Fai Ma
4. Zhongyang Han
5. Wei Wang

In Electrical and Electronic Engineering

1. Henry Leung

Citations in the corpus

• A Review of Deep Learning Models for Time Series Prediction (2019, background): “2) RepresentativeDeepLearningModel-Hybrids: Besides the above-mentioned studies reporting individual deep learning models, there also exist some hybrids or combinational structures which are successfully applied on time series prediction [205], [206].”