reviewTop 1% cited
A review of wind speed and wind power forecasting with deep neural networks
Applied Energy · 2021 · Vol. 304 · pp. 117766–117766
Yun Wang(Central South University)Runmin Zou✉(Central South University)Fang Liu(Central South University)Lingjun Zhang(Hangzhou Dianzi University)Qianyi Liu(Central South University)
Energy Load and Power ForecastingElectric Power System OptimizationWind Energy Research and DevelopmentWind power forecastingWind powerRenewable energyArtificial neural networkComputer scienceDeep learningWind speedArtificial intelligenceElectric power systemElectricity
Funding
- National Natural Science Foundation of China
- Natural Science Foundation of Hunan Province
- Key Research and Development Program of Hunan Province of China
Citations
851
FWCI
54.35
field-weighted impact
References
281
Percentile
100%
vs. same field & year
Citations per year
References
Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
Renewable Energy · 2011 · 518 citations
Day-ahead wind speed forecasting using f-ARIMA models
Renewable Energy · 2008 · 925 citations
A review on the forecasting of wind speed and generated power
Renewable and Sustainable Energy Reviews · 2008 · 1,147 citations
Long Short-Term Memory
Neural Computation · 1997 · 95,078 citations
Bidirectional recurrent neural networks
IEEE Transactions on Signal Processing · 1997 · 9,780 citations
Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals
IEEE Transactions on Neural Networks · 2010 · 721 citations
Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances
IEEE Transactions on Neural Networks · 2011 · 638 citations
Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method
Renewable Energy · 2016 · 667 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.