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Conference Sep 2026

Digital Twin-Based Wind Forecasting and Grid Integration for Clean Energy

As the capacity of wind generation is increasing, it is necessary to forecast and control methods that can cope with rapid weather variation but still ensure reliable operation of the grid. This work presents a digital twin-based framework that integrates turbine physics, real-time measurements, adaptive state estimati...

A. Suresh · 0 citations
Conference Aug 2026

Deep Reinforcement Learning-Based Energy Management and Fault-Tolerant Control for Vehicle-to-Grid Enabled Electric Vehicle Drive Systems

Vehicle-to-Grid (V2G) technology has emerged as an effective approach for supporting bidirectional energy exchange between electric vehicles and smart grids. However, uncertainties associated with renewable energy generation, electricity price fluctuations, varying driving conditions, and component faults make real-tim...

K. B. Bhaskar, Devikala S, A. Suresh et al. · 0 citations

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