Short-Term Load Forecasting Using EMD-LSTM neural networks with a xgboost algorithm for feature importance evaluation

Energies

Volumn 10, Issue 8, 2017, Pages

  Zheng, Huiting ^a   Yuan, Jiabin ^a   Chen, Long ^a  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

Author keywords

Empirical Mode Decomposition; Extreme Gradient Boosting; K Means; Long Short Term Memory Neural Networks; Short Term Load Forecasting; Similar Day

Indexed keywords

BRAIN; ELECTRIC POWER PLANT LOADS; FORECASTING; LOAD TESTING; NUMERICAL METHODS; SIGNAL PROCESSING;

EMPIRICAL MODE DECOMPOSITION; GRADIENT BOOSTING; K-MEANS; SHORT TERM LOAD FORECASTING; SIMILAR DAY;

LONG SHORT-TERM MEMORY;

EID: 85035125246     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en10081168     Document Type: Article

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