Concepedia

Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables

Wenjun Jiang, Bo Liu, Yang Liang, Huanxiang Gao, Pengfei Lin, Dongqin Zhang, Gang Hu

Applied Energy · 2023 · 91 citations · 66 references

Concepts

Natural SciencesEarth SciencesMeteorologyForecastingMachine LearningWeather ForecastingDeep LearningWind ForecastingDeep Learning For ForecastingDeep Learning For Time Series ForecastingDeep Learning For Wind ForecastingDeep Learning-based ForecastingMachine Learning For Wind ForecastingTransformer ModelsWind Speed ForecastingWind Speed Prediction

References

66

Long Short-Term Memory

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

Computing, Computer Science, Algorithms +16

Adam: A Method for Stochastic Optimization

Diederik P. Kingma, Jimmy Ba · UvA-DARE (University of Amsterdam) · 2014 · 84.8K citations · Full text

Computing, Computer Science, Algorithms +16

MizAR 60 for Mizar 50

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2023 · 76.3K citations · Full text

Computing, Computer Science, Computational Linguistics +14

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.3K citations

Computing, Computer Science, Artificial Intelligence +12

Multilayer feedforward networks are universal approximators

Kurt Hornik, Maxwell B. Stinchcombe, Halbert White · Neural Networks · 1989 · 21.2K citations

Computing, Computer Science, Mathematics +10