In order to solve the problem of insufficient smoothing ability and excessive smoothing, this paper proposes a method combining exponential smoothing short-term wind power forecasting with wavelet packet. .
••A secondary filtering algorithm is proposed to overcome limits of. .
AbbreviationHESS
Hybrid Energy Storage System
CEEMDAN
Complete Ensemble Empirical Mode Decomposition with Adaptive Noise
N. .
Due to climate, environment and other factors, wind power output has the inherent attributes of randomness, volatility and uncertainty. If the wind power is connected to the grid directl. .
2.1. Time characteristics of wind power fluctuation in mathematical formWind power itself is multi-dimensional fluctuation data, and the data can reflect the characteristics of. .
3.1. Second modification of filtering algorithmExponential smoothing is to weight the current power based on the previous smoothing correc. [pdf]
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