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A. Gopalakrushna

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2026

Data-driven fault detection in renewable energy systems using hybrid machine learning techniques

A new stacking-ensemble hybrid machine learning model that will combine a one-dimensional convolutional neural network with a bidirectional long short-term memory (CNN-BiLSTM) module, a Random Forest classifier, and an XGBoost gradient booster as base learners under the guidance of a logistic regression meta-learner is suggested.

A. Gopalakrushna · 0 citations

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