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Multi-step interval prediction of ultra-short-term wind power based on CEEMDAN-FIG and CNN-BiLSTM

Zheng Zhao, Honggang Nan, Zihan Liu, Yuebo Yu

2022Environmental Science and Pollution Research34 citationsDOI

Topics & Concepts

Interval (graph theory)Wind powerHilbert–Huang transformWind speedAlgorithmNoise (video)Term (time)Sequence (biology)MathematicsPrediction intervalComputer scienceStatisticsWhite noiseMeteorologyArtificial intelligenceEngineeringCombinatoricsPhysicsQuantum mechanicsBiologyImage (mathematics)GeneticsElectrical engineeringEnergy Load and Power ForecastingPower Systems and Renewable EnergyElectric Power System Optimization
Multi-step interval prediction of ultra-short-term wind power based on CEEMDAN-FIG and CNN-BiLSTM | Litcius