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Author

V. Bereznychenko

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Open access Oct 2026

Intelligent adaptive energy management framework for hybrid solar-grid EV fast-charging stations with energy storage and time-based demand response optimization

The rapid expansion of electric vehicle (EVs) is significantly increasing pressure on the conventional electrical grid and introducing new challenges in load management, peak demand, and grid stability. Conventional grid systems, dependent on fossil fuel-based generation, contribute to greenhouse gas emissions and limi...

Dhivya Govindasamy, R. Rathinam, B. A. Zneid et al. · 0 citations
Conference Open access Sep 2026

Photovoltaic Fault Detection Using I-V Curve Analysis Coupled with Artificial Intelligence Methods

An intelligent PV fault diagnosis framework based on real-time current-voltage curve analysis and machine learning techniques is presented, highlighting the effectiveness, reliability, and practical applicability of integrating machine learning with I-V curve analysis for real-time photovoltaic fault diagnosis and cond...

A. Bebboukha, C. Labiod, R. Meneceur et al. · 0 citations
Open access Jul 2026

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 m...

T. Mariprasath, Kumaresh S. S., Seif Al Bustanji et al. · 0 citations
Open access Aug 2026

A physics-constrained temporal modeling framework for robust short-term wind power forecasting

The integration of physics-guided constraints with the temporal convolutional architecture significantly enhances prediction accuracy, stability, and generalization capability, making it suitable for real-time wind energy forecasting applications, intelligent energy management systems, and microgrid power system operat...

S. Marisargunam, T. Mariprasath, Mohit Bajaj et al. · 1 citation

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