Accuracy of a short-term wind power forecasting model based on deep learning using LiDAR-SCADA integration: A case study of the 400-MW Anholt offshore wind farm.

Long Short-Term Memory

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

Computing, Computer Science, Algorithms +16

Backpropagation Applied to Handwritten Zip Code Recognition

Yann LeCun, Bernhard E. Boser, J. S. Denker et al. · Neural Computation · 1989 · 11.9K citations

Computing, Computer Science, Artificial Intelligence +16

Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model

Jinhua Zhang, Jie Yan, David Infield et al. · Applied Energy · 2019 · 390 citations · Full text

Business, Computational Engineering, Meteorology +17

A hybrid deep learning-based neural network for 24-h ahead wind power forecasting

Ying‐Yi Hong, Christian Lian Paulo P. Rioflorido · Applied Energy · 2019 · 334 citations

Natural Sciences, Data Science, Meteorology +14

Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network

Zi Lin, Xiaolei Liu · Energy · 2020 · 256 citations

Engineering, Marine Engineering, Ocean Engineering +17