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A hybrid deep learning architecture for wind power prediction based on bi-attention mechanism and crisscross optimization

Anbo Meng, Shun Chen, Zuhong Ou, Weifeng Ding, Huaming Zhou, Jingmin Fan, Hao Yin

2021Energy120 citationsDOI

Topics & Concepts

ResidualHilbert–Huang transformArtificial intelligenceWind powerComputer scienceGeneralizationArtificial neural networkTime seriesPower (physics)Deep learningMachine learningEngineeringAlgorithmMathematicsElectrical engineeringQuantum mechanicsFilter (signal processing)PhysicsComputer visionMathematical analysisEnergy Load and Power ForecastingImage and Signal Denoising MethodsMachine Fault Diagnosis Techniques
A hybrid deep learning architecture for wind power prediction based on bi-attention mechanism and crisscross optimization | Litcius