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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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	IEEE Access
المؤلفون الرئيسيون:	B. Devanathan, K. Jnana Varshitha, L. Pavan Kumar, S. A. Lakshmanan, N. Krishna Prakash
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	IEEE 2025-01-01
الموضوعات:	Household energy consumption forecasting explainable AI XGBoost Holt-Winters exponential smoothing SHAP LIME
الوصول للمادة أونلاين:	https://ieeexplore.ieee.org/document/11141411/