AI-driven predictive models for sustainability

Journal of Environmental Management, Год журнала: 2024, Номер 373, С. 123472 - 123472

Опубликована: Ноя. 28, 2024

This research presents an AI-driven, explainable energy management model that aligns with Net Zero sustainability objectives by optimizing consumption, enhancing predictive accuracy, and ensuring transparency. The integrates machine learning algorithms, like Gradient Boosting Machines (GBM) Random Forests, utilizes techniques SHAP LIME for interpretability. Data was split 70/30 training validation, 10-times validation to avoid overfitting, achieving a Mean Absolute Error (MAE) of 1.26-1.53 Root Squared (RMSE) 1.97-2.06. model's accuracy reached R

Язык: Английский

Energy Management with Ai to Achieve Net Zero Goals Through Predictive Analytics

Опубликована: Янв. 1, 2024

Язык: Английский