articleTop 1% cited
Wind power prediction using deep neural network based meta regression and transfer learning
Applied Soft Computing · 2017 · Vol. 58 · pp. 742–755
Aqsa Saeed Qureshi(Pakistan Institute of Engineering and Applied Sciences)Asifullah Khan✉(Pakistan Institute of Engineering and Applied Sciences)Aneela Zameer(Pakistan Institute of Engineering and Applied Sciences)Anila Usman(Pakistan Institute of Engineering and Applied Sciences)
Energy Load and Power ForecastingSolar Radiation and PhotovoltaicsWind Energy Research and DevelopmentComputer scienceMean squared errorArtificial neural networkTransfer of learningInitializationArtificial intelligenceDeep learningEnsemble learningMachine learningDeep belief network
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367
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References
Current methods and advances in forecasting of wind power generation
Renewable Energy · 2011 · 1,259 citations
A review on the forecasting of wind speed and generated power
Renewable and Sustainable Energy Reviews · 2008 · 1,147 citations
Deep learning based ensemble approach for probabilistic wind power forecasting
Applied Energy · 2016 · 730 citations
Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting
Applied Soft Computing · 2017 · 447 citations
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