Research Article

An Advanced Hybrid Forecasting System for Wind Speed Point Forecasting and Interval Forecasting

Table 2

The abbreviations that appear in this article.

Nomenclature

NNIANondominated neighbor immune algorithm
VMDVariational mode decomposition
Bi-LSTMBidirectional long short-term memory
LSTMLong short-term memory
RNNRecurrent neural network
IMFsIntrinsic mode functions
GRNNGeneralized regression neural network
BPNNBackpropagation neural network
ARMAAutoregressive moving average model
ESExponential smoothing
EMDEmpirical mode decomposition
CEEMDComplementary ensemble empirical mode decomposition
SSASingular spectrum analysis
ENNEvolutionary neural network
ELMExtreme learning machine neural network
SVMSupport vector machine
NWPNumerical weather prediction
GARCHGeneralized autoregressive conditional heteroskedasticity
LUBELower upper bound estimation
ANNArtificial neural network
PSOParticle swarm optimization
GAThe genetic algorithm
MAPEThe average of N absolute percentage error
MAEThe mean absolute error of N forecasting results
RMSEThe square root of the average of the error squares
MSEMean squared error
DCDirectional change
FICPForecast interval coverage probability
FINAWForecast interval normalized average width
AWDAccumulated width deviation of testing dataset
WACDWeight adaptive combined denoising based models