JOURNAL ARTICLE

Stacking integration algorithm based on CNN-BiLSTM-Attention with XGBoost for short-term electricity load forecasting

Keywords:
Computer science Term (time) Algorithm Stability (learning theory) Gradient descent Cluster analysis Artificial neural network Convolutional neural network Key (lock) Generalization Data mining Electric power system Artificial intelligence Machine learning Power (physics) Mathematics

Metrics

67
Cited By
24.73
FWCI (Field Weighted Citation Impact)
56
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Energy Load and Power Forecasting
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Traffic Prediction and Management Techniques
Physical Sciences →  Engineering →  Building and Construction
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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