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Author

M. Bhoopathi

2 papers indexed here

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Open access Sep 2026

Accurate RUL prediction of EV batteries using random forest and ensemble learning frameworks

Precise remaining useful life (RUL) estimation for lithium-ion batteries is essential for improving the safety, reliability, and maintenance of electric vehicles (EVs). This study proposes a random forest (RF)-based ensemble learning framework using the publicly available Hawaii Natural Energy Institute (HNEI) dataset...

Ponkumar Ganesapandiyan, P. Hemachandu, N. Rajavinu et al. · 0 citations
Open access Sep 2026

A privacy-preserving IoT-machine learning framework for optimized and secure demand-side management in smart grids

This paper presents an integrated internet of things (IoT) and machine learning-based framework for secure and efficient demand-side management (DSM) in modern smart grids. The proposed approach combines long short-term memory (LSTM) networks for accurate load forecasting, federated learning (FL) for decentralized priv...

S. Pushpa, Jonnadula Narasimharao, K. L. Kishore et al. · 0 citations

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