Explainable AI Framework Using XGBoost With SHAP and LIME for Multi-Scale Household Energy Forecasting
Forecasting energy consumption is critical for maximizing resource utilization, lowering operational costs, and increasing sustainability. Traditional machine learning models often function as black boxes, which complicates the understanding of decision-making processes. This research utilizes Expla...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2025-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11141411/ |
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