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A Multi-Factor Collaborative Electricity Load Forecasting Method Based on Feature Importance and Multi-Scale Feature Extraction
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DOI：10.1016/j.egyai.2025.100579.png)
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Abstract
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• Comprehensive feature importance assessment method considering feature correlations proposed • Multi-dimensional weight matrix and multi-layer input structure constructed • Multi-channel convolutional neural network-driven multi-scale fusion model designed • Proposed method demonstrates significant advantages in improving prediction accuracy and handling multi-dimensional complex data • Interpretability techniques employed to verify rationality of feature utilization
Keywords:
Comprehensive feature importance
Multi-dimensional weight matrix
Multi-factor collaboration
Multi-scale sampling
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