Kumaresh S. S.

Hybrid temporal deep learning and ensemble regression framework for remaining useful life prediction of lithium-ion batteries in energy storage systems

A hybrid data-driven framework integrating a Temporal Convolutional Network, Bidirectional Long Short-Term Memory, and Extreme Gradient Boosting for accurate LIB RUL prediction provides a robust and computationally efficient solution for intelligent battery health monitoring, predictive maintenance, and smart battery management applications in electric vehicles and energy storage systems.