A stacked Gradient Boosting–XGBoost ensemble with ridge meta-learner for accurate short-term solar PV power forecasting in smart grids

Nature·Apr 10

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Consensus-based feature selection and Bayesian-optimized stacking ensembles for comprehensive fault diagnosis in series-compensated ultra-high-voltage power systems

Nature·Apr 26

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Heterogeneity-aware stacked machine learning for predicting high-performance concrete compressive strength

Frontiers·Feb 18

3

Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings

Nature·Apr 7

4

An interpretable stacking ensemble model for high-entropy alloy mechanical property prediction

Frontiers·May 27

5

Adaptive demand forecasting framework with weighted ensemble of regression and machine learning models along life cycle variability

Nature·Nov 4

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SAE-MRHL: a Self-Adaptive Explainable Meta-Reinforcement Hybrid Learner for remaining battery life prediction in IoE systems

Frontiers·Jun 9

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Machine learning models with SHAP for performance prediction of eco-friendly fiber reinforced mortars with glass waste

Nature·Nov 20

8

A novel stacking ensemble learner for predicting residual strength of corroded pipelines

Nature·Aug 26