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Author

S. Rubavathy

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Conference Aug 2026

A Hybrid Ensemble Learning Model for Electric Vehicles Performance Prediction and Classification

Accurate forecasting of electric vehicles (EV) operations is a crucial part of improving battery performance and making sure that they are operating. This paper presents a hybrid ensemble learning algorithm that combines the three algorithms: Random Forest (RF), K-Nearest Neighbors (KNN), and Elastic Net (EN) to classi...

S. Rubavathy · 0 citations
Conference Aug 2026

Machine Learning Based Soc and Soh Prediction for Renewable Battery Systems

A considerable problem posed on the operational front for Battery Energy Storage Systems (BESS) is the intermittency and non-linearity of renewable sources such as solar and wind. The traditional battery management systems are based on deterministic rule-based methods, which contribute to the inaccuracy of estimation o...

S. Rubavathy · 0 citations
Conference Jul 2026

A Hybrid Ensemble Learning Strategy for Enhancing Solar Photovoltaic Forecasting in Renewable Energy Systems

The successful forecast of the solar photovoltaic (PV) power processing is essential in increasing grid stability, and in the ultimate inclusion of renewable energy. This paper is a research project aiming to introduce a hybrid classifier of Random Forest (RF), K-Nearest Neighbors (KNN), and Elastic Net (EN) to enhance...

S. R., S. Rubavathy · 0 citations

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